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#!/usr/bin/perl -w
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# $Id$
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# Usage:
# mert-moses.pl <foreign> <english> <decoder-executable> <decoder-config>
# For other options see below or run 'mert-moses.pl --help'
# Notes:
# <foreign> and <english> should be raw text files, one sentence per line
# <english> can be a prefix, in which case the files are <english>0, <english>1, etc. are used
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# Excerpts from revision history
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# Sept 2011 multi-threaded mert (Barry Haddow)
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# 3 Aug 2011 Added random directions, historic best, pairwise ranked (PK)
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# Jul 2011 simplifications (Ondrej Bojar)
# -- rely on moses' -show-weights instead of parsing moses.ini
# ... so moses is also run once *before* mert starts, checking
# the model to some extent
# -- got rid of the 'triples' mess;
# use --range to supply bounds for random starting values:
# --range tm:-3..3 --range lm:-3..3
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# 5 Aug 2009 Handling with different reference length policies (shortest, average, closest) for BLEU
# and case-sensistive/insensitive evaluation (Nicola Bertoldi)
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# 5 Jun 2008 Forked previous version to support new mert implementation.
# 13 Feb 2007 Better handling of default values for lambda, now works with multiple
# models and lexicalized reordering
# 11 Oct 2006 Handle different input types through parameter --inputype=[0|1]
# (0 for text, 1 for confusion network, default is 0) (Nicola Bertoldi)
# 10 Oct 2006 Allow skip of filtering of phrase tables (--no-filter-phrase-table)
# useful if binary phrase tables are used (Nicola Bertoldi)
# 28 Aug 2006 Use either closest or average or shortest (default) reference
# length as effective reference length
# Use either normalization or not (default) of texts (Nicola Bertoldi)
# 31 Jul 2006 move gzip run*.out to avoid failure wit restartings
# adding default paths
# 29 Jul 2006 run-filter, score-nbest and mert run on the queue (Nicola; Ondrej had to type it in again)
# 28 Jul 2006 attempt at foolproof usage, strong checking of input validity, merged the parallel and nonparallel version (Ondrej Bojar)
# 27 Jul 2006 adding the safesystem() function to handle with process failure
# 22 Jul 2006 fixed a bug about handling relative path of configuration file (Nicola Bertoldi)
# 21 Jul 2006 adapted for Moses-in-parallel (Nicola Bertoldi)
# 18 Jul 2006 adapted for Moses and cleaned up (PK)
# 21 Jan 2005 unified various versions, thorough cleanup (DWC)
# now indexing accumulated n-best list solely by feature vectors
# 14 Dec 2004 reimplemented find_threshold_points in C (NMD)
# 25 Oct 2004 Use either average or shortest (default) reference
# length as effective reference length (DWC)
# 13 Oct 2004 Use alternative decoders (DWC)
# Original version by Philipp Koehn
use FindBin qw( $Bin ) ;
use File::Basename ;
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use File::Path ;
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my $ SCRIPTS_ROOTDIR = $ Bin ;
$ SCRIPTS_ROOTDIR =~ s/\/training$// ;
$ SCRIPTS_ROOTDIR = $ ENV { "SCRIPTS_ROOTDIR" } if defined ( $ ENV { "SCRIPTS_ROOTDIR" } ) ;
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## We preserve this bit of comments to keep the traditional weight ranges.
# "w" => [ [ 0.0, -1.0, 1.0 ] ], # word penalty
# "d" => [ [ 1.0, 0.0, 2.0 ] ], # lexicalized reordering model
# "lm" => [ [ 1.0, 0.0, 2.0 ] ], # language model
# "g" => [ [ 1.0, 0.0, 2.0 ], # generation model
# [ 1.0, 0.0, 2.0 ] ],
# "tm" => [ [ 0.3, 0.0, 0.5 ], # translation model
# [ 0.2, 0.0, 0.5 ],
# [ 0.3, 0.0, 0.5 ],
# [ 0.2, 0.0, 0.5 ],
# [ 0.0,-1.0, 1.0 ] ], # ... last weight is phrase penalty
# "lex"=> [ [ 0.1, 0.0, 0.2 ] ], # global lexical model
# "I" => [ [ 0.0,-1.0, 1.0 ] ], # input lattice scores
# moses.ini file uses FULL names for lambdas, while this training script
# internally (and on the command line) uses ABBR names.
my @ ABBR_FULL_MAP = qw( d=weight-d lm=weight-l tm=weight-t w=weight-w
g = weight - generation lex = weight - lex I = weight - i ) ;
my % ABBR2FULL = map { split /=/ , $ _ , 2 } @ ABBR_FULL_MAP ;
my % FULL2ABBR = map { my ( $ a , $ b ) = split /=/ , $ _ , 2 ; ( $ b , $ a ) ; } @ ABBR_FULL_MAP ;
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my $ minimum_required_change_in_weights = 0.00001 ;
# stop if no lambda changes more than this
my $ verbose = 0 ;
my $ usage = 0 ; # request for --help
my $ ___WORKING_DIR = "mert-work" ;
my $ ___DEV_F = undef ; # required, input text to decode
my $ ___DEV_E = undef ; # required, basename of files with references
my $ ___DECODER = undef ; # required, pathname to the decoder executable
my $ ___CONFIG = undef ; # required, pathname to startup ini file
my $ ___N_BEST_LIST_SIZE = 100 ;
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my $ ___LATTICE_SAMPLES = 0 ;
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my $ queue_flags = "-hard" ; # extra parameters for parallelizer
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# the -l ws0ssmt was relevant only to JHU 2006 workshop
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my $ ___JOBS = undef ; # if parallel, number of jobs to use (undef or 0 -> serial)
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my $ ___DECODER_FLAGS = "" ; # additional parametrs to pass to the decoder
my $ continue = 0 ; # should we try to continue from the last saved step?
my $ skip_decoder = 0 ; # and should we skip the first decoder run (assuming we got interrupted during mert)
my $ ___FILTER_PHRASE_TABLE = 1 ; # filter phrase table
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my $ ___PREDICTABLE_SEEDS = 0 ;
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my $ ___START_WITH_HISTORIC_BESTS = 0 ; # use best settings from all previous iterations as starting points [Foster&Kuhn,2009]
my $ ___RANDOM_DIRECTIONS = 0 ; # search in random directions only
my $ ___NUM_RANDOM_DIRECTIONS = 0 ; # number of random directions, also works with default optimizer [Cer&al.,2008]
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my $ ___PAIRWISE_RANKED_OPTIMIZER = 0 ; # use Hopkins&May[2011]
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my $ ___PRO_STARTING_POINT = 0 ; # get a starting point from pairwise ranked optimizer
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my $ ___RANDOM_RESTARTS = 20 ;
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my $ ___HISTORIC_INTERPOLATION = 0 ; # interpolate optimize weights with previous iteration's weights [Hopkins&May,2011,5.4.3]
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my $ __THREADS = 0 ;
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# Parameter for effective reference length when computing BLEU score
# Default is to use shortest reference
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# Use "--shortest" to use shortest reference length
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# Use "--average" to use average reference length
# Use "--closest" to use closest reference length
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# Only one between --shortest, --average and --closest can be set
# If more than one choice the defualt (--shortest) is used
my $ ___SHORTEST = 0 ;
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my $ ___AVERAGE = 0 ;
my $ ___CLOSEST = 0 ;
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# Use "--nocase" to compute case-insensitive scores
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my $ ___NOCASE = 0 ;
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# Use "--nonorm" to non normalize translation before computing scores
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my $ ___NONORM = 0 ;
# set 0 if input type is text, set 1 if input type is confusion network
my $ ___INPUTTYPE = 0 ;
my $ mertdir = undef ; # path to new mert directory
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my $ mertargs = undef ; # args to pass through to mert & extractor
my $ mertmertargs = undef ; # args to pass through to mert only
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my $ filtercmd = undef ; # path to filter-model-given-input.pl
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my $ filterfile = undef ;
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my $ qsubwrapper = undef ;
my $ moses_parallel_cmd = undef ;
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my $ old_sge = 0 ; # assume sge<6.0
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my $ ___CONFIG_ORIG = undef ; # pathname to startup ini file before filtering
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my $ ___ACTIVATE_FEATURES = undef ; # comma-separated (or blank-separated) list of features to work on
# if undef work on all features
# (others are fixed to the starting values)
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my $ ___RANGES = undef ;
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my $ prev_aggregate_nbl_size = - 1 ; # number of previous step to consider when loading data (default =-1)
# -1 means all previous, i.e. from iteration 1
# 0 means no previous data, i.e. from actual iteration
# 1 means 1 previous data , i.e. from the actual iteration and from the previous one
# and so on
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my $ maximum_iterations = 25 ;
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use strict ;
use Getopt::Long ;
GetOptions (
"working-dir=s" = > \ $ ___WORKING_DIR ,
"input=s" = > \ $ ___DEV_F ,
"inputtype=i" = > \ $ ___INPUTTYPE ,
"refs=s" = > \ $ ___DEV_E ,
"decoder=s" = > \ $ ___DECODER ,
"config=s" = > \ $ ___CONFIG ,
"nbest=i" = > \ $ ___N_BEST_LIST_SIZE ,
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"lattice-samples=i" = > \ $ ___LATTICE_SAMPLES ,
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"queue-flags=s" = > \ $ queue_flags ,
"jobs=i" = > \ $ ___JOBS ,
"decoder-flags=s" = > \ $ ___DECODER_FLAGS ,
"continue" = > \ $ continue ,
"skip-decoder" = > \ $ skip_decoder ,
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"shortest" = > \ $ ___SHORTEST ,
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"average" = > \ $ ___AVERAGE ,
"closest" = > \ $ ___CLOSEST ,
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"nocase" = > \ $ ___NOCASE ,
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"nonorm" = > \ $ ___NONORM ,
"help" = > \ $ usage ,
"verbose" = > \ $ verbose ,
"mertdir=s" = > \ $ mertdir ,
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"mertargs=s" = > \ $ mertargs ,
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"mertmertargs=s" = > \ $ mertmertargs ,
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"rootdir=s" = > \ $ SCRIPTS_ROOTDIR ,
"filtercmd=s" = > \ $ filtercmd , # allow to override the default location
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"filterfile=s" = > \ $ filterfile , # input to filtering script (useful for lattices/confnets)
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"qsubwrapper=s" = > \ $ qsubwrapper , # allow to override the default location
"mosesparallelcmd=s" = > \ $ moses_parallel_cmd , # allow to override the default location
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"old-sge" = > \ $ old_sge , #passed to moses-parallel
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"filter-phrase-table!" = > \ $ ___FILTER_PHRASE_TABLE , # (dis)allow of phrase tables
"predictable-seeds" = > \ $ ___PREDICTABLE_SEEDS , # make random restarts deterministic
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"historic-bests" = > \ $ ___START_WITH_HISTORIC_BESTS , # use best settings from all previous iterations as starting points
"random-directions" = > \ $ ___RANDOM_DIRECTIONS , # search only in random directions
"number-of-random-directions=i" = > \ $ ___NUM_RANDOM_DIRECTIONS , # number of random directions
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"random-restarts=i" = > \ $ ___RANDOM_RESTARTS , # number of random restarts
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"activate-features=s" = > \ $ ___ACTIVATE_FEATURES , #comma-separated (or blank-separated) list of features to work on (others are fixed to the starting values)
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"range=s@" = > \ $ ___RANGES ,
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"prev-aggregate-nbestlist=i" = > \ $ prev_aggregate_nbl_size , #number of previous step to consider when loading data (default =-1, i.e. all previous)
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"maximum-iterations=i" = > \ $ maximum_iterations ,
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"pairwise-ranked" = > \ $ ___PAIRWISE_RANKED_OPTIMIZER ,
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"pro-starting-point" = > \ $ ___PRO_STARTING_POINT ,
"historic-interpolation=f" = > \ $ ___HISTORIC_INTERPOLATION ,
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"threads=i" = > \ $ __THREADS
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) or exit ( 1 ) ;
# the 4 required parameters can be supplied on the command line directly
# or using the --options
if ( scalar @ ARGV == 4 ) {
# required parameters: input_file references_basename decoder_executable
$ ___DEV_F = shift ;
$ ___DEV_E = shift ;
$ ___DECODER = shift ;
$ ___CONFIG = shift ;
}
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if ( $ usage || ! defined $ ___DEV_F || ! defined $ ___DEV_E || ! defined $ ___DECODER || ! defined $ ___CONFIG ) {
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print STDERR " usage: $ 0 input - text references decoder - executable decoder . ini
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Options:
- - working - dir = mert - dir ... where all the files are created
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- - nbest = 100 ... how big nbestlist to generate
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- - lattice - samples ... how many lattice samples ( Chatterjee & Cancedda , emnlp 2010 )
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- - jobs = N ... set this to anything to run moses in parallel
- - mosesparallelcmd = STR ... use a different script instead of moses - parallel
- - queue - flags = STRING ... anything you with to pass to qsub , eg .
'-l ws06osssmt=true' . The default is: '-hard'
To reset the parameters , please use
- - queue - flags = ' '
( i . e . a space between the quotes ) .
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- - decoder - flags = STRING ... extra parameters for the decoder
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- - continue ... continue from the last successful iteration
- - skip - decoder ... skip the decoder run for the first time ,
assuming that we got interrupted during
optimization
- - shortest - - average - - closest
... Use shortest /average/c losest reference length
as effective reference length ( mutually exclusive )
- - nocase ... Do not preserve case information ; i . e .
case - insensitive evaluation ( default is false ) .
- - nonorm ... Do not use text normalization ( flag is not active ,
i . e . text is NOT normalized )
- - filtercmd = STRING ... path to filter - model - given - input . pl
- - filterfile = STRING ... path to alternative to input - text for filtering
model . useful for lattice decoding
- - rootdir = STRING ... where do helpers reside ( if not given explicitly )
- - mertdir = STRING ... path to new mert implementation
- - mertargs = STRING ... extra args for mert , eg . to specify scorer
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- - mertmertargs = STRING ... extra args for mert only ,
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- - scorenbestcmd = STRING ... path to score - nbest . py
- - old - sge ... passed to parallelizers , assume Grid Engine < 6.0
- - inputtype = [ 0 | 1 | 2 ] ... Handle different input types: ( 0 for text ,
1 for confusion network , 2 for lattices ,
default is 0 )
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- - no - filter - phrase - table ... disallow filtering of phrase tables
( useful if binary phrase tables are available )
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- - random - restarts = INT ... number of random restarts ( default: 20 )
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- - predictable - seeds ... provide predictable seeds to mert so that random
restarts are the same on every run
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- - range = tm:0 .. 1 , - 1 .. 1 ... specify min and max value for some features
- - range can be repeated as needed .
The order of the various - - range specifications
is important only within a feature name .
E . g . :
- - range = tm:0 .. 1 , - 1 .. 1 - - range = tm:0 .. 2
is identical to:
- - range = tm:0 .. 1 , - 1 .. 1 , 0 .. 2
but not to:
- - range = tm:0 .. 2 - - range = tm:0 .. 1 , - 1 .. 1
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- - activate - features = STRING ... comma - separated list of features to optimize ,
others are fixed to the starting values
default: optimize all features
example: tm_0 , tm_4 , d_0
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- - prev - aggregate - nbestlist = INT ... number of previous step to consider when
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loading data ( default = $ prev_aggregate_nbl_size )
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- 1 means all previous , i . e . from iteration 1
0 means no previous data , i . e . only the
current iteration
N means this and N previous iterations
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- - maximum - iterations = ITERS ... Maximum number of iterations . Default: $ maximum_iterations
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- - random - directions ... search only in random directions
- - number - of - random - directions = int ... number of random directions
( also works with regular optimizer , default: 0 )
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- - pairwise - ranked ... Use PRO for optimisation ( Hopkins and May , emnlp 2011 )
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- - pro - starting - point ... Use PRO to get a starting point for MERT
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- - threads = NUMBER ... Use multi - threaded mert ( must be compiled in ) .
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- - historic - interpolation ... Interpolate optimized weights with prior iterations ' weight
( parameter sets factor [ 0 ; 1 ] given to current weights )
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" ;
exit 1 ;
}
# Check validity of input parameters and set defaults if needed
print STDERR "Using SCRIPTS_ROOTDIR: $SCRIPTS_ROOTDIR\n" ;
# path of script for filtering phrase tables and running the decoder
$ filtercmd = "$SCRIPTS_ROOTDIR/training/filter-model-given-input.pl" if ! defined $ filtercmd ;
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if ( ! - x $ filtercmd && ! $ ___FILTER_PHRASE_TABLE ) {
print STDERR "Filtering command not found: $filtercmd.\n" ;
print STDERR "Use --filtercmd=PATH to specify a valid one or --no-filter-phrase-table\n" ;
exit 1 ;
}
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$ qsubwrapper = "$SCRIPTS_ROOTDIR/generic/qsub-wrapper.pl" if ! defined $ qsubwrapper ;
$ moses_parallel_cmd = "$SCRIPTS_ROOTDIR/generic/moses-parallel.pl"
if ! defined $ moses_parallel_cmd ;
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if ( ! defined $ mertdir ) {
$ mertdir = "$SCRIPTS_ROOTDIR/../mert" ;
print STDERR "Assuming --mertdir=$mertdir\n" ;
}
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my $ mert_extract_cmd = "$mertdir/extractor" ;
my $ mert_mert_cmd = "$mertdir/mert" ;
die "Not executable: $mert_extract_cmd" if ! - x $ mert_extract_cmd ;
die "Not executable: $mert_mert_cmd" if ! - x $ mert_mert_cmd ;
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my $ pro_optimizer = "$mertdir/megam_i686.opt" ; # or set to your installation
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if ( ( $ ___PAIRWISE_RANKED_OPTIMIZER || $ ___PRO_STARTING_POINT ) && ! - x $ pro_optimizer ) {
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print "did not find $pro_optimizer, installing it in $mertdir\n" ;
`cd $mertdir; wget http://www.cs.utah.edu/~hal/megam/megam_i686.opt.gz;` ;
`gunzip $pro_optimizer.gz` ;
`chmod +x $pro_optimizer` ;
die ( "ERROR: Installation of megam_i686.opt failed! Install by hand from http://www.cs.utah.edu/~hal/megam/" ) unless - x $ pro_optimizer ;
}
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$ mertargs = "" if ! defined $ mertargs ;
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my $ scconfig = undef ;
if ( $ mertargs =~ /\-\-scconfig\s+(.+?)(\s|$)/ ) {
$ scconfig = $ 1 ;
$ scconfig =~ s/\,/ /g ;
$ mertargs =~ s/\-\-scconfig\s+(.+?)(\s|$)// ;
}
# handling reference lengh strategy
if ( ( $ ___CLOSEST + $ ___AVERAGE + $ ___SHORTEST ) > 1 ) {
die "You can specify just ONE reference length strategy (closest or shortest or average) not both\n" ;
}
if ( $ ___SHORTEST ) {
$ scconfig . = " reflen:shortest" ;
} elsif ( $ ___AVERAGE ) {
$ scconfig . = " reflen:average" ;
} elsif ( $ ___CLOSEST ) {
$ scconfig . = " reflen:closest" ;
}
# handling case-insensitive flag
if ( $ ___NOCASE ) {
$ scconfig . = " case:false" ;
} else {
$ scconfig . = " case:true" ;
}
$ scconfig =~ s/^\s+// ;
$ scconfig =~ s/\s+$// ;
$ scconfig =~ s/\s+/,/g ;
$ scconfig = "--scconfig $scconfig" if ( $ scconfig ) ;
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my $ mert_extract_args = $ mertargs ;
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$ mert_extract_args . = " $scconfig" ;
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$ mertmertargs = "" if ! defined $ mertmertargs ;
my $ mert_mert_args = "$mertargs $mertmertargs" ;
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$ mert_mert_args =~ s/\-+(binary|b)\b// ;
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$ mert_mert_args . = " $scconfig" ;
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if ( $ ___ACTIVATE_FEATURES ) { $ mert_mert_args . = " -o \"$___ACTIVATE_FEATURES\"" ; }
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my ( $ just_cmd_filtercmd , $ x ) = split ( / / , $ filtercmd ) ;
die "Not executable: $just_cmd_filtercmd" if ! - x $ just_cmd_filtercmd ;
die "Not executable: $moses_parallel_cmd" if defined $ ___JOBS && ! - x $ moses_parallel_cmd ;
die "Not executable: $qsubwrapper" if defined $ ___JOBS && ! - x $ qsubwrapper ;
die "Not executable: $___DECODER" if ! - x $ ___DECODER ;
my $ input_abs = ensure_full_path ( $ ___DEV_F ) ;
die "File not found: $___DEV_F (interpreted as $input_abs)."
if ! - e $ input_abs ;
$ ___DEV_F = $ input_abs ;
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# Option to pass to qsubwrapper and moses-parallel
my $ pass_old_sge = $ old_sge ? "-old-sge" : "" ;
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my $ decoder_abs = ensure_full_path ( $ ___DECODER ) ;
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die "File not executable: $___DECODER (interpreted as $decoder_abs)."
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if ! - x $ decoder_abs ;
$ ___DECODER = $ decoder_abs ;
my $ ref_abs = ensure_full_path ( $ ___DEV_E ) ;
# check if English dev set (reference translations) exist and store a list of all references
my @ references ;
if ( - e $ ref_abs ) {
push @ references , $ ref_abs ;
}
else {
# if multiple file, get a full list of the files
my $ part = 0 ;
while ( - e $ ref_abs . $ part ) {
push @ references , $ ref_abs . $ part ;
$ part + + ;
}
die ( "Reference translations not found: $___DEV_E (interpreted as $ref_abs)" ) unless $ part ;
}
my $ config_abs = ensure_full_path ( $ ___CONFIG ) ;
die "File not found: $___CONFIG (interpreted as $config_abs)."
if ! - e $ config_abs ;
$ ___CONFIG = $ config_abs ;
# moses should use our config
if ( $ ___DECODER_FLAGS =~ /(^|\s)-(config|f) /
|| $ ___DECODER_FLAGS =~ /(^|\s)-(ttable-file|t) /
|| $ ___DECODER_FLAGS =~ /(^|\s)-(distortion-file) /
|| $ ___DECODER_FLAGS =~ /(^|\s)-(generation-file) /
|| $ ___DECODER_FLAGS =~ /(^|\s)-(lmodel-file) /
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|| $ ___DECODER_FLAGS =~ /(^|\s)-(global-lexical-file) /
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) {
die "It is forbidden to supply any of -config, -ttable-file, -distortion-file, -generation-file or -lmodel-file in the --decoder-flags.\nPlease use only the --config option to give the config file that lists all the supplementary files." ;
}
# as weights are normalized in the next steps (by cmert)
# normalize initial LAMBDAs, too
my $ need_to_normalize = 1 ;
#store current directory and create the working directory (if needed)
my $ cwd = `pawd 2>/dev/null` ;
if ( ! $ cwd ) { $ cwd = `pwd` ; }
chomp ( $ cwd ) ;
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mkpath ( $ ___WORKING_DIR ) ;
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{
# open local scope
#chdir to the working directory
chdir ( $ ___WORKING_DIR ) or die "Can't chdir to $___WORKING_DIR" ;
# fixed file names
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my $ mert_outfile = "mert.out" ;
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my $ mert_logfile = "mert.log" ;
my $ weights_in_file = "init.opt" ;
my $ weights_out_file = "weights.txt" ;
# set start run
my $ start_run = 1 ;
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my $ bestpoint = undef ;
my $ devbleu = undef ;
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my $ sparse_weights_file = undef ;
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my $ prev_feature_file = undef ;
my $ prev_score_file = undef ;
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my $ prev_init_file = undef ;
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if ( $ ___FILTER_PHRASE_TABLE ) {
my $ outdir = "filtered" ;
if ( - e "$outdir/moses.ini" ) {
print STDERR "Assuming the tables are already filtered, reusing $outdir/moses.ini\n" ;
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}
else {
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# filter the phrase tables with respect to input, use --decoder-flags
print STDERR "filtering the phrase tables... " . `date` ;
my $ ___FILTER_F = $ ___DEV_F ;
$ ___FILTER_F = $ filterfile if ( defined $ filterfile ) ;
my $ cmd = "$filtercmd ./$outdir $___CONFIG $___FILTER_F" ;
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& submit_or_exec ( $ cmd , "filterphrases.out" , "filterphrases.err" ) ;
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}
# make a backup copy of startup ini filepath
$ ___CONFIG_ORIG = $ ___CONFIG ;
# the decoder should now use the filtered model
$ ___CONFIG = "$outdir/moses.ini" ;
}
else {
# do not filter phrase tables (useful if binary phrase tables are available)
# use the original configuration file
$ ___CONFIG_ORIG = $ ___CONFIG ;
}
# we run moses to check validity of moses.ini and to obtain all the feature
# names
my $ featlist = get_featlist_from_moses ( $ ___CONFIG ) ;
$ featlist = insert_ranges_to_featlist ( $ featlist , $ ___RANGES ) ;
# Mark which features are disabled:
if ( defined $ ___ACTIVATE_FEATURES ) {
my % enabled = map { ( $ _ , 1 ) } split /[, ]+/ , $ ___ACTIVATE_FEATURES ;
my % cnt ;
for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
my $ name = $ featlist - > { "names" } - > [ $ i ] ;
$ cnt { $ name } = 0 if ! defined $ cnt { $ name } ;
$ featlist - > { "enabled" } - > [ $ i ] = $ enabled { $ name . "_" . $ cnt { $ name } } ;
$ cnt { $ name } + + ;
}
} else {
# all enabled
for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
$ featlist - > { "enabled" } - > [ $ i ] = 1 ;
}
}
print STDERR "MERT starting values and ranges for random generation:\n" ;
for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
my $ name = $ featlist - > { "names" } - > [ $ i ] ;
my $ val = $ featlist - > { "values" } - > [ $ i ] ;
my $ min = $ featlist - > { "mins" } - > [ $ i ] ;
my $ max = $ featlist - > { "maxs" } - > [ $ i ] ;
my $ enabled = $ featlist - > { "enabled" } - > [ $ i ] ;
printf STDERR " %5s = %7.3f" , $ name , $ val ;
if ( $ enabled ) {
printf STDERR " (%5.2f .. %5.2f)\n" , $ min , $ max ;
} else {
print STDERR " --- inactive, not optimized ---\n" ;
}
}
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if ( $ continue ) {
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# getting the last finished step
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print STDERR "Trying to continue an interrupted optimization.\n" ;
open IN , "finished_step.txt" or die "Failed to find the step number, failed to read finished_step.txt" ;
my $ step = <IN> ;
chomp $ step ;
close IN ;
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print STDERR "Last finished step is $step\n" ;
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# getting the first needed step
my $ firststep ;
if ( $ prev_aggregate_nbl_size == - 1 ) {
$ firststep = 1 ;
}
else {
$ firststep = $ step - $ prev_aggregate_nbl_size + 1 ;
$ firststep = ( $ firststep > 0 ) ? $ firststep:1 ;
}
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#checking if all needed data are available
if ( $ firststep <= $ step ) {
print STDERR "First previous needed data index is $firststep\n" ;
print STDERR "Checking whether all needed data (from step $firststep to step $step) are available\n" ;
for ( my $ prevstep = $ firststep ; $ prevstep <= $ step ; $ prevstep + + ) {
print STDERR "Checking whether data of step $prevstep are available\n" ;
if ( ! - e "run$prevstep.features.dat" ) {
die "Can't start from step $step, because run$prevstep.features.dat was not found!" ;
} else {
if ( defined $ prev_feature_file ) {
$ prev_feature_file = "${prev_feature_file},run$prevstep.features.dat" ;
}
else {
$ prev_feature_file = "run$prevstep.features.dat" ;
}
}
if ( ! - e "run$prevstep.scores.dat" ) {
die "Can't start from step $step, because run$prevstep.scores.dat was not found!" ;
} else {
if ( defined $ prev_score_file ) {
$ prev_score_file = "${prev_score_file},run$prevstep.scores.dat" ;
}
else {
$ prev_score_file = "run$prevstep.scores.dat" ;
}
}
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if ( ! - e "run$prevstep.${weights_in_file}" ) {
die "Can't start from step $step, because run$prevstep.${weights_in_file} was not found!" ;
} else {
if ( defined $ prev_init_file ) {
$ prev_init_file = "${prev_init_file},run$prevstep.${weights_in_file}" ;
}
else {
$ prev_init_file = "run$prevstep.${weights_in_file}" ;
}
}
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}
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if ( ! - e "run$step.weights.txt" ) {
die "Can't start from step $step, because run$step.weights.txt was not found!" ;
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}
if ( ! - e "run$step.$mert_logfile" ) {
die "Can't start from step $step, because run$step.$mert_logfile was not found!" ;
}
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if ( ! - e "run$step.best$___N_BEST_LIST_SIZE.out.gz" ) {
die "Can't start from step $step, because run$step.best$___N_BEST_LIST_SIZE.out.gz was not found!" ;
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}
print STDERR "All needed data are available\n" ;
print STDERR "Loading information from last step ($step)\n" ;
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my % dummy ; # sparse features
( $ bestpoint , $ devbleu ) = & get_weights_from_mert ( "run$step.$mert_outfile" , "run$step.$mert_logfile" , scalar @ { $ featlist - > { "names" } } , \ % dummy ) ;
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die "Failed to parse mert.log, missed Best point there."
if ! defined $ bestpoint || ! defined $ devbleu ;
print "($step) BEST at $step $bestpoint => $devbleu at " . `date` ;
my @ newweights = split /\s+/ , $ bestpoint ;
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# Sanity check: order of lambdas must match
sanity_check_order_of_lambdas ( $ featlist ,
"gunzip -c < run$step.best$___N_BEST_LIST_SIZE.out.gz |" ) ;
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# update my cache of lambda values
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$ featlist - > { "values" } = \ @ newweights ;
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}
else {
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print STDERR "No previous data are needed\n" ;
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}
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$ start_run = $ step + 1 ;
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}
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###### MERT MAIN LOOP
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my $ run = $ start_run - 1 ;
my $ oldallsorted = undef ;
my $ allsorted = undef ;
my $ nbest_file = undef ;
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my $ lsamp_file = undef ; #Lattice samples
my $ orig_nbest_file = undef ; # replaced if lattice sampling
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while ( 1 ) {
$ run + + ;
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if ( $ maximum_iterations && $ run > $ maximum_iterations ) {
print "Maximum number of iterations exceeded - stopping\n" ;
last ;
}
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# run beamdecoder with option to output nbestlists
# the end result should be (1) @NBEST_LIST, a list of lists; (2) @SCORE, a list of lists of lists
print "run $run start at " . `date` ;
# In case something dies later, we might wish to have a copy
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create_config ( $ ___CONFIG , "./run$run.moses.ini" , $ featlist , $ run , ( defined $ devbleu ? $ devbleu: "--not-estimated--" ) , $ sparse_weights_file ) ;
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# skip running the decoder if the user wanted
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if ( ! $ skip_decoder ) {
print "($run) run decoder to produce n-best lists\n" ;
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( $ nbest_file , $ lsamp_file ) = run_decoder ( $ featlist , $ run , $ need_to_normalize ) ;
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$ need_to_normalize = 0 ;
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if ( $ ___LATTICE_SAMPLES ) {
my $ combined_file = "$nbest_file.comb" ;
safesystem ( "sort -k1,1n $nbest_file $lsamp_file > $combined_file" ) or
die ( "failed to merge nbest and lattice samples" ) ;
safesystem ( "gzip -f $nbest_file; gzip -f $lsamp_file" ) or
die "Failed to gzip nbests and lattice samples" ;
$ orig_nbest_file = "$nbest_file.gz" ;
$ orig_nbest_file = "$nbest_file.gz" ;
$ lsamp_file = "$lsamp_file.gz" ;
$ lsamp_file = "$lsamp_file.gz" ;
$ nbest_file = "$combined_file" ;
}
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safesystem ( "gzip -f $nbest_file" ) or die "Failed to gzip run*out" ;
$ nbest_file = $ nbest_file . ".gz" ;
}
else {
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$ nbest_file = "run$run.best$___N_BEST_LIST_SIZE.out.gz" ;
print "skipped decoder run $run\n" ;
$ skip_decoder = 0 ;
$ need_to_normalize = 0 ;
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}
# extract score statistics and features from the nbest lists
print STDERR "Scoring the nbestlist.\n" ;
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my $ base_feature_file = "features.dat" ;
my $ base_score_file = "scores.dat" ;
my $ feature_file = "run$run.${base_feature_file}" ;
my $ score_file = "run$run.${base_score_file}" ;
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my $ cmd = "$mert_extract_cmd $mert_extract_args --scfile $score_file --ffile $feature_file -r " . join ( "," , @ references ) . " -n $nbest_file" ;
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$ cmd = create_extractor_script ( $ cmd , $ ___WORKING_DIR ) ;
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& submit_or_exec ( $ cmd , "extract.out" , "extract.err" ) ;
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# Create the initial weights file for mert: init.opt
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my @ MIN = @ { $ featlist - > { "mins" } } ;
my @ MAX = @ { $ featlist - > { "maxs" } } ;
my @ CURR = @ { $ featlist - > { "values" } } ;
my @ NAME = @ { $ featlist - > { "names" } } ;
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open ( OUT , "> $weights_in_file" )
or die "Can't write $weights_in_file (WD now $___WORKING_DIR)" ;
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print OUT join ( " " , @ CURR ) . "\n" ;
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print OUT join ( " " , @ MIN ) . "\n" ; # this is where we could pass MINS
print OUT join ( " " , @ MAX ) . "\n" ; # this is where we could pass MAXS
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close ( OUT ) ;
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# print join(" ", @NAME)."\n";
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# make a backup copy labelled with this run number
safesystem ( "\\cp -f $weights_in_file run$run.$weights_in_file" ) or die ;
my $ DIM = scalar ( @ CURR ) ; # number of lambdas
# run mert
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$ cmd = "$mert_mert_cmd -d $DIM $mert_mert_args" ;
my $ mert_settings = " -n $___RANDOM_RESTARTS" ;
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if ( $ ___PREDICTABLE_SEEDS ) {
my $ seed = $ run * 1000 ;
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$ mert_settings . = " -r $seed" ;
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}
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if ( $ ___RANDOM_DIRECTIONS ) {
if ( $ ___NUM_RANDOM_DIRECTIONS == 0 ) {
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$ mert_settings . = " -m 50" ;
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}
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$ mert_settings . = " -t random-direction" ;
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}
if ( $ ___NUM_RANDOM_DIRECTIONS ) {
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$ mert_settings . = " -m $___NUM_RANDOM_DIRECTIONS" ;
}
if ( $ __THREADS ) {
$ mert_settings . = " --threads $__THREADS" ;
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}
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my $ file_settings = "" ;
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if ( defined $ prev_feature_file ) {
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$ file_settings . = " --ffile $prev_feature_file,$feature_file" ;
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}
else {
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$ file_settings . = " --ffile $feature_file" ;
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}
if ( defined $ prev_score_file ) {
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$ file_settings . = " --scfile $prev_score_file,$score_file" ;
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}
else {
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$ file_settings . = " --scfile $score_file" ;
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}
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if ( $ ___START_WITH_HISTORIC_BESTS && defined $ prev_init_file ) {
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$ file_settings . = " --ifile $prev_init_file,run$run.$weights_in_file" ;
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}
else {
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$ file_settings . = " --ifile run$run.$weights_in_file" ;
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}
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$ cmd . = $ file_settings ;
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# pro optimization
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if ( $ ___PAIRWISE_RANKED_OPTIMIZER ) {
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$ cmd . = " --pro run$run.pro.data ; echo 'not used' > $weights_out_file; $pro_optimizer -fvals -maxi 30 -nobias binary run$run.pro.data" ;
& submit_or_exec ( $ cmd , $ mert_outfile , $ mert_logfile ) ;
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}
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# first pro, then mert
elsif ( $ ___PRO_STARTING_POINT ) {
# run pro...
my $ pro_cmd = $ cmd . " --pro run$run.pro.data ; $pro_optimizer -fvals -maxi 30 -nobias binary run$run.pro.data" ;
& submit_or_exec ( $ pro_cmd , "run$run.pro.out" , "run$run.pro.err" ) ;
# ... get results ...
my % dummy ;
( $ bestpoint , $ devbleu ) = & get_weights_from_mert ( "run$run.pro.out" , "run$run.pro.err" , scalar @ { $ featlist - > { "names" } } , \ % dummy ) ;
open ( PRO_START , ">run$run.init.pro" ) ;
print PRO_START $ bestpoint . "\n" ;
close ( PRO_START ) ;
# ... and run mert
$ cmd =~ s/(--ifile \S+)/$1,run$run.init.pro/ ;
& submit_or_exec ( $ cmd . $ mert_settings , $ mert_outfile , $ mert_logfile ) ;
}
# just mert
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else {
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& submit_or_exec ( $ cmd . $ mert_settings , $ mert_outfile , $ mert_logfile ) ;
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}
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die "Optimization failed, file $weights_out_file does not exist or is empty"
if ! - s $ weights_out_file ;
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# backup copies
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safesystem ( "\\cp -f extract.err run$run.extract.err" ) or die ;
safesystem ( "\\cp -f extract.out run$run.extract.out" ) or die ;
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safesystem ( "\\cp -f $mert_outfile run$run.$mert_outfile" ) or die ;
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safesystem ( "\\cp -f $mert_logfile run$run.$mert_logfile" ) or die ;
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safesystem ( "touch $mert_logfile run$run.$mert_logfile" ) or die ;
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safesystem ( "\\cp -f $weights_out_file run$run.$weights_out_file" ) or die ; # this one is needed for restarts, too
print "run $run end at " . `date` ;
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my % sparse_weights ; # sparse features
( $ bestpoint , $ devbleu ) = & get_weights_from_mert ( "run$run.$mert_outfile" , "run$run.$mert_logfile" , scalar @ { $ featlist - > { "names" } } , \ % sparse_weights ) ;
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die "Failed to parse mert.log, missed Best point there."
if ! defined $ bestpoint || ! defined $ devbleu ;
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print "($run) BEST at $run: $bestpoint => $devbleu at " . `date` ;
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# update my cache of lambda values
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my @ newweights = split /\s+/ , $ bestpoint ;
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# interpolate with prior's interation weight, if historic-interpolation is specified
if ( $ ___HISTORIC_INTERPOLATION > 0 && $ run > 3 ) {
my % historic_sparse_weights ;
if ( - e "run$run.sparse-weights" ) {
open ( SPARSE , "run$run.sparse-weights" ) ;
while ( <SPARSE> ) {
chop ;
my ( $ feature , $ weight ) = split ;
$ historic_sparse_weights { $ feature } = $ weight ;
}
}
my $ prev = $ run - 1 ;
my @ historic_weights = split /\s+/ , `cat run$prev.$weights_out_file` ;
for ( my $ i = 0 ; $ i < scalar ( @ newweights ) ; $ i + + ) {
$ newweights [ $ i ] = $ ___HISTORIC_INTERPOLATION * $ newweights [ $ i ] + ( 1 - $ ___HISTORIC_INTERPOLATION ) * $ historic_weights [ $ i ] ;
}
print "interpolate with " . join ( "," , @ historic_weights ) . " to " . join ( "," , @ newweights ) ;
foreach ( keys % sparse_weights ) {
$ sparse_weights { $ _ } *= $ ___HISTORIC_INTERPOLATION ;
#print STDERR "sparse_weights{$_} *= $___HISTORIC_INTERPOLATION -> $sparse_weights{$_}\n";
}
foreach ( keys % historic_sparse_weights ) {
$ sparse_weights { $ _ } += ( 1 - $ ___HISTORIC_INTERPOLATION ) * $ historic_sparse_weights { $ _ } ;
#print STDERR "sparse_weights{$_} += (1-$___HISTORIC_INTERPOLATION) * $historic_sparse_weights{$_} -> $sparse_weights{$_}\n";
}
}
if ( $ ___HISTORIC_INTERPOLATION > 0 ) {
open ( WEIGHTS , ">run$run.$weights_out_file" ) ;
print WEIGHTS join ( " " , @ newweights ) ;
close ( WEIGHTS ) ;
}
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$ featlist - > { "values" } = \ @ newweights ;
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if ( scalar keys % sparse_weights ) {
$ sparse_weights_file = "run" . ( $ run + 1 ) . ".sparse-weights" ;
open ( SPARSE , ">" . $ sparse_weights_file ) ;
foreach my $ feature ( keys % sparse_weights ) {
print SPARSE "$feature $sparse_weights{$feature}\n" ;
}
close ( SPARSE ) ;
}
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## additional stopping criterion: weights have not changed
my $ shouldstop = 1 ;
for ( my $ i = 0 ; $ i < @ CURR ; $ i + + ) {
die "Lost weight! mert reported fewer weights (@newweights) than we gave it (@CURR)"
if ! defined $ newweights [ $ i ] ;
if ( abs ( $ CURR [ $ i ] - $ newweights [ $ i ] ) >= $ minimum_required_change_in_weights ) {
$ shouldstop = 0 ;
last ;
}
}
open F , "> finished_step.txt" or die "Can't mark finished step" ;
print F $ run . "\n" ;
close F ;
if ( $ shouldstop ) {
print STDERR "None of the weights changed more than $minimum_required_change_in_weights. Stopping.\n" ;
last ;
}
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my $ firstrun ;
if ( $ prev_aggregate_nbl_size == - 1 ) {
$ firstrun = 1 ;
}
else {
$ firstrun = $ run - $ prev_aggregate_nbl_size + 1 ;
$ firstrun = ( $ firstrun > 0 ) ? $ firstrun:1 ;
}
print "loading data from $firstrun to $run (prev_aggregate_nbl_size=$prev_aggregate_nbl_size)\n" ;
$ prev_feature_file = undef ;
$ prev_score_file = undef ;
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$ prev_init_file = undef ;
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for ( my $ i = $ firstrun ; $ i <= $ run ; $ i + + ) {
if ( defined $ prev_feature_file ) {
$ prev_feature_file = "${prev_feature_file},run${i}.${base_feature_file}" ;
}
else {
$ prev_feature_file = "run${i}.${base_feature_file}" ;
}
if ( defined $ prev_score_file ) {
$ prev_score_file = "${prev_score_file},run${i}.${base_score_file}" ;
}
else {
$ prev_score_file = "run${i}.${base_score_file}" ;
}
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if ( defined $ prev_init_file ) {
$ prev_init_file = "${prev_init_file},run${i}.${weights_in_file}" ;
}
else {
$ prev_init_file = "run${i}.${weights_in_file}" ;
}
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}
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print "loading data from $prev_feature_file\n" if defined ( $ prev_feature_file ) ;
print "loading data from $prev_score_file\n" if defined ( $ prev_score_file ) ;
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print "loading data from $prev_init_file\n" if defined ( $ prev_init_file ) ;
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}
print "Training finished at " . `date` ;
if ( defined $ allsorted ) { safesystem ( "\\rm -f $allsorted" ) or die ; } ;
safesystem ( "\\cp -f $weights_in_file run$run.$weights_in_file" ) or die ;
safesystem ( "\\cp -f $mert_logfile run$run.$mert_logfile" ) or die ;
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create_config ( $ ___CONFIG_ORIG , "./moses.ini" , $ featlist , $ run , $ devbleu , $ sparse_weights_file ) ;
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# just to be sure that we have the really last finished step marked
open F , "> finished_step.txt" or die "Can't mark finished step" ;
print F $ run . "\n" ;
close F ;
#chdir back to the original directory # useless, just to remind we were not there
chdir ( $ cwd ) ;
} # end of local scope
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sub get_weights_from_mert {
my ( $ outfile , $ logfile , $ weight_count , $ sparse_weights ) = @ _ ;
my ( $ bestpoint , $ devbleu ) ;
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if ( $ ___PAIRWISE_RANKED_OPTIMIZER || ( $ ___PRO_STARTING_POINT && $ logfile =~ /pro/ ) ) {
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open ( IN , $ outfile ) or die "Can't open $outfile" ;
my ( @ WEIGHT , $ sum ) ;
for ( my $ i = 0 ; $ i < $ weight_count ; $ i + + ) { push @ WEIGHT , 0 ; }
while ( <IN> ) {
# regular features
if ( /^F(\d+) ([\-\.\de]+)/ ) {
$ WEIGHT [ $ 1 ] = $ 2 ;
$ sum += abs ( $ 2 ) ;
}
# sparse features
elsif ( /^(.+_.+) ([\-\.\de]+)/ ) {
$$ sparse_weights { $ 1 } = $ 2 ;
}
}
$ devbleu = "unknown" ;
foreach ( @ WEIGHT ) { $ _ /= $ sum ; }
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foreach ( keys % { $ sparse_weights } ) { $$ sparse_weights { $ _ } /= $ sum ; }
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$ bestpoint = join ( " " , @ WEIGHT ) ;
close IN ;
}
else {
open ( IN , $ logfile ) or die "Can't open $logfile" ;
while ( <IN> ) {
if ( /Best point:\s*([\s\d\.\-e]+?)\s*=> ([\-\d\.]+)/ ) {
$ bestpoint = $ 1 ;
$ devbleu = $ 2 ;
last ;
}
}
close IN ;
}
return ( $ bestpoint , $ devbleu ) ;
}
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sub run_decoder {
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my ( $ featlist , $ run , $ need_to_normalize ) = @ _ ;
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my $ filename_template = "run%d.best$___N_BEST_LIST_SIZE.out" ;
my $ filename = sprintf ( $ filename_template , $ run ) ;
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my $ lsamp_filename = undef ;
if ( $ ___LATTICE_SAMPLES ) {
my $ lsamp_filename_template = "run%d.lsamp$___LATTICE_SAMPLES.out" ;
$ lsamp_filename = sprintf ( $ lsamp_filename_template , $ run ) ;
}
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# user-supplied parameters
print "params = $___DECODER_FLAGS\n" ;
# parameters to set all model weights (to override moses.ini)
my @ vals = @ { $ featlist - > { "values" } } ;
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if ( $ need_to_normalize ) {
print STDERR "Normalizing lambdas: @vals\n" ;
my $ totlambda = 0 ;
grep ( $ totlambda += abs ( $ _ ) , @ vals ) ;
grep ( $ _ /= $ totlambda , @ vals ) ;
}
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# moses now does not seem accept "-tm X -tm Y" but needs "-tm X Y"
my % model_weights ;
for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
my $ name = $ featlist - > { "names" } - > [ $ i ] ;
$ model_weights { $ name } = "-$name" if ! defined $ model_weights { $ name } ;
$ model_weights { $ name } . = sprintf " %.6f" , $ vals [ $ i ] ;
}
my $ decoder_config = join ( " " , values % model_weights ) ;
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$ decoder_config . = " -weight-file run$run.sparse-weights" if - e "run$run.sparse-weights" ;
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print STDERR "DECODER_CFG = $decoder_config\n" ;
print "decoder_config = $decoder_config\n" ;
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# run the decoder
my $ decoder_cmd ;
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my $ lsamp_cmd = "" ;
if ( $ ___LATTICE_SAMPLES ) {
$ lsamp_cmd = " -lattice-samples $lsamp_filename $___LATTICE_SAMPLES " ;
}
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if ( defined $ ___JOBS && $ ___JOBS > 0 ) {
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$ decoder_cmd = "$moses_parallel_cmd $pass_old_sge -config $___CONFIG -inputtype $___INPUTTYPE -qsub-prefix mert$run -queue-parameters \"$queue_flags\" -decoder-parameters \"$___DECODER_FLAGS $decoder_config\" $lsamp_cmd -n-best-list \"$filename $___N_BEST_LIST_SIZE\" -input-file $___DEV_F -jobs $___JOBS -decoder $___DECODER > run$run.out" ;
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} else {
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$ decoder_cmd = "$___DECODER $___DECODER_FLAGS -config $___CONFIG -inputtype $___INPUTTYPE $decoder_config $lsamp_cmd -n-best-list $filename $___N_BEST_LIST_SIZE -input-file $___DEV_F > run$run.out" ;
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}
safesystem ( $ decoder_cmd ) or die "The decoder died. CONFIG WAS $decoder_config \n" ;
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sanity_check_order_of_lambdas ( $ featlist , $ filename ) ;
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return ( $ filename , $ lsamp_filename ) ;
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}
sub insert_ranges_to_featlist {
my $ featlist = shift ;
my $ ranges = shift ;
$ ranges = [] if ! defined $ ranges ;
# first collect the ranges from options
my $ niceranges ;
foreach my $ range ( @$ ranges ) {
my $ name = undef ;
foreach my $ namedpair ( split /,/ , $ range ) {
if ( $ namedpair =~ /^(.*?):/ ) {
$ name = $ 1 ;
$ namedpair =~ s/^.*?:// ;
die "Unrecognized name '$name' in --range=$range"
if ! defined $ ABBR2FULL { $ name } ;
}
my ( $ min , $ max ) = split /\.\./ , $ namedpair ;
die "Bad min '$min' in --range=$range" if $ min !~ /^-?[0-9.]+$/ ;
die "Bad max '$max' in --range=$range" if $ min !~ /^-?[0-9.]+$/ ;
die "No name given in --range=$range" if ! defined $ name ;
push @ { $ niceranges - > { $ name } } , [ $ min , $ max ] ;
}
}
# now populate featlist
my $ seen = undef ;
for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
my $ name = $ featlist - > { "names" } - > [ $ i ] ;
$ seen - > { $ name } + + ;
my $ min = 0.0 ;
my $ max = 1.0 ;
if ( defined $ niceranges - > { $ name } ) {
my $ minmax = shift @ { $ niceranges - > { $ name } } ;
( $ min , $ max ) = @$ minmax if defined $ minmax ;
}
$ featlist - > { "mins" } - > [ $ i ] = $ min ;
$ featlist - > { "maxs" } - > [ $ i ] = $ max ;
}
return $ featlist ;
}
sub sanity_check_order_of_lambdas {
my $ featlist = shift ;
my $ filename_or_stream = shift ;
my @ expected_lambdas = @ { $ featlist - > { "names" } } ;
my @ got = get_order_of_scores_from_nbestlist ( $ filename_or_stream ) ;
die "Mismatched lambdas. Decoder returned @got, we expected @expected_lambdas"
if "@got" ne "@expected_lambdas" ;
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}
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sub get_featlist_from_moses {
# run moses with the given config file and return the list of features and
# their initial values
my $ configfn = shift ;
my $ featlistfn = "./features.list" ;
if ( - e $ featlistfn ) {
print STDERR "Using cached features list: $featlistfn\n" ;
} else {
print STDERR "Asking moses for feature names and values from $___CONFIG\n" ;
my $ cmd = "$___DECODER $___DECODER_FLAGS -config $configfn -inputtype $___INPUTTYPE -show-weights > $featlistfn" ;
safesystem ( $ cmd ) or die "Failed to run moses with the config $configfn" ;
}
# read feature list
my @ names = ( ) ;
my @ startvalues = ( ) ;
open ( INI , $ featlistfn ) or die "Can't read $featlistfn" ;
my $ nr = 0 ;
my @ errs = ( ) ;
while ( <INI> ) {
$ nr + + ;
chomp ;
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/^(.+) (\S+) (\S+)$/ || die ( "invalid feature: $_" ) ;
my ( $ longname , $ feature , $ value ) = ( $ 1 , $ 2 , $ 3 ) ;
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next if $ value eq "sparse" ;
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push @ errs , "$featlistfn:$nr:Bad initial value of $feature: $value\n"
if $ value !~ /^[+-]?[0-9.e]+$/ ;
push @ errs , "$featlistfn:$nr:Unknown feature '$feature', please add it to \@ABBR_FULL_MAP\n"
if ! defined $ ABBR2FULL { $ feature } ;
push @ names , $ feature ;
push @ startvalues , $ value ;
}
close INI ;
if ( scalar @ errs ) {
print STDERR join ( "" , @ errs ) ;
exit 1 ;
}
return { "names" = > \ @ names , "values" = > \ @ startvalues } ;
}
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sub get_order_of_scores_from_nbestlist {
# read the first line and interpret the ||| label: num num num label2: num ||| column in nbestlist
# return the score labels in order
my $ fname_or_source = shift ;
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# print STDERR "Peeking at the beginning of nbestlist to get order of scores: $fname_or_source\n";
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open IN , $ fname_or_source or die "Failed to get order of scores from nbestlist '$fname_or_source'" ;
my $ line = <IN> ;
close IN ;
die "Line empty in nbestlist '$fname_or_source'" if ! defined $ line ;
my ( $ sent , $ hypo , $ scores , $ total ) = split /\|\|\|/ , $ line ;
$ scores =~ s/^\s*|\s*$//g ;
die "No scores in line: $line" if $ scores eq "" ;
my @ order = ( ) ;
my $ label = undef ;
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my $ sparse = 0 ; # we ignore sparse features here
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foreach my $ tok ( split /\s+/ , $ scores ) {
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if ( $ tok =~ /.+_.+:/ ) {
$ sparse = 1 ;
} elsif ( $ tok =~ /^([a-z][0-9a-z]*):/i ) {
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$ label = $ 1 ;
} elsif ( $ tok =~ /^-?[-0-9.e]+$/ ) {
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if ( ! $ sparse ) {
# a score found, remember it
die "Found a score but no label before it! Bad nbestlist '$fname_or_source'!"
if ! defined $ label ;
push @ order , $ label ;
}
$ sparse = 0 ;
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} else {
die "Not a label, not a score '$tok'. Failed to parse the scores string: '$scores' of nbestlist '$fname_or_source'" ;
}
}
print STDERR "The decoder returns the scores in this order: @order\n" ;
return @ order ;
}
sub create_config {
my $ infn = shift ; # source config
my $ outfn = shift ; # where to save the config
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my $ featlist = shift ; # the lambdas we should write
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my $ iteration = shift ; # just for verbosity
my $ bleu_achieved = shift ; # just for verbosity
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my $ sparse_weights_file = shift ; # only defined when optimizing sparse features
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my % P ; # the hash of all parameters we wish to override
# first convert the command line parameters to the hash
{ # ensure local scope of vars
my $ parameter = undef ;
print "Parsing --decoder-flags: |$___DECODER_FLAGS|\n" ;
$ ___DECODER_FLAGS =~ s/^\s*|\s*$// ;
$ ___DECODER_FLAGS =~ s/\s+/ / ;
foreach ( split ( / / , $ ___DECODER_FLAGS ) ) {
if ( /^\-([^\d].*)$/ ) {
$ parameter = $ 1 ;
$ parameter = $ ABBR2FULL { $ parameter } if defined ( $ ABBR2FULL { $ parameter } ) ;
}
else {
die "Found value with no -paramname before it: $_"
if ! defined $ parameter ;
push @ { $ P { $ parameter } } , $ _ ;
}
}
}
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# First delete all weights params from the input, we're overwriting them.
# Delete both short and long-named version.
for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
my $ name = $ featlist - > { "names" } - > [ $ i ] ;
delete ( $ P { $ name } ) ;
delete ( $ P { $ ABBR2FULL { $ name } } ) ;
}
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# Convert weights to elements in P
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for ( my $ i = 0 ; $ i <scalar(@{$featlist-> { "names" } } ) ; $ i + + ) {
my $ name = $ featlist - > { "names" } - > [ $ i ] ;
my $ val = $ featlist - > { "values" } - > [ $ i ] ;
$ name = defined $ ABBR2FULL { $ name } ? $ ABBR2FULL { $ name } : $ name ;
# ensure long name
push @ { $ P { $ name } } , $ val ;
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}
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if ( defined ( $ sparse_weights_file ) ) {
push @ { $ P { "weights-file" } } , $ ___WORKING_DIR . "/" . $ sparse_weights_file ;
}
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# create new moses.ini decoder config file by cloning and overriding the original one
open ( INI , $ infn ) or die "Can't read $infn" ;
delete ( $ P { "config" } ) ; # never output
print "Saving new config to: $outfn\n" ;
open ( OUT , "> $outfn" ) or die "Can't write $outfn" ;
print OUT "# MERT optimized configuration\n" ;
print OUT "# decoder $___DECODER\n" ;
print OUT "# BLEU $bleu_achieved on dev $___DEV_F\n" ;
print OUT "# We were before running iteration $iteration\n" ;
print OUT "# finished " . `date` ;
my $ line = <INI> ;
while ( 1 ) {
last unless $ line ;
# skip until hit [parameter]
if ( $ line !~ /^\[(.+)\]\s*$/ ) {
$ line = <INI> ;
print OUT $ line if $ line =~ /^\#/ || $ line =~ /^\s+$/ ;
next ;
}
# parameter name
my $ parameter = $ 1 ;
$ parameter = $ ABBR2FULL { $ parameter } if defined ( $ ABBR2FULL { $ parameter } ) ;
print OUT "[$parameter]\n" ;
# change parameter, if new values
if ( defined ( $ P { $ parameter } ) ) {
# write new values
foreach ( @ { $ P { $ parameter } } ) {
print OUT $ _ . "\n" ;
}
delete ( $ P { $ parameter } ) ;
# skip until new parameter, only write comments
while ( $ line = <INI> ) {
print OUT $ line if $ line =~ /^\#/ || $ line =~ /^\s+$/ ;
last if $ line =~ /^\[/ ;
last unless $ line ;
}
next ;
}
# unchanged parameter, write old
while ( $ line = <INI> ) {
last if $ line =~ /^\[/ ;
print OUT $ line ;
}
}
# write all additional parameters
foreach my $ parameter ( keys % P ) {
print OUT "\n[$parameter]\n" ;
foreach ( @ { $ P { $ parameter } } ) {
print OUT $ _ . "\n" ;
}
}
close ( INI ) ;
close ( OUT ) ;
print STDERR "Saved: $outfn\n" ;
}
sub safesystem {
print STDERR "Executing: @_\n" ;
system ( @ _ ) ;
if ( $? == - 1 ) {
print STDERR "Failed to execute: @_\n $!\n" ;
exit ( 1 ) ;
}
elsif ( $? & 127 ) {
printf STDERR "Execution of: @_\n died with signal %d, %s coredump\n" ,
( $? & 127 ) , ( $? & 128 ) ? 'with' : 'without' ;
exit ( 1 ) ;
}
else {
my $ exitcode = $? >> 8 ;
print STDERR "Exit code: $exitcode\n" if $ exitcode ;
return ! $ exitcode ;
}
}
sub ensure_full_path {
my $ PATH = shift ;
$ PATH =~ s/\/nfsmnt// ;
return $ PATH if $ PATH =~ /^\// ;
my $ dir = `pawd 2>/dev/null` ;
if ( ! $ dir ) { $ dir = `pwd` ; }
chomp ( $ dir ) ;
$ PATH = $ dir . "/" . $ PATH ;
$ PATH =~ s/[\r\n]//g ;
$ PATH =~ s/\/\.\//\//g ;
$ PATH =~ s/\/+/\//g ;
my $ sanity = 0 ;
while ( $ PATH =~ /\/\.\.\// && $ sanity + + < 10 ) {
$ PATH =~ s/\/+/\//g ;
$ PATH =~ s/\/[^\/]+\/\.\.\//\//g ;
}
$ PATH =~ s/\/[^\/]+\/\.\.$// ;
$ PATH =~ s/\/+$// ;
$ PATH =~ s/\/nfsmnt// ;
return $ PATH ;
}
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sub submit_or_exec {
my ( $ cmd , $ stdout , $ stderr ) = @ _ ;
print STDERR "exec: $cmd\n" ;
if ( defined $ ___JOBS && $ ___JOBS > 0 ) {
safesystem ( "$qsubwrapper $pass_old_sge -command='$cmd' -queue-parameter=\"$queue_flags\" -stdout=$stdout -stderr=$stderr" )
or die "ERROR: Failed to submit '$cmd' (via $qsubwrapper)" ;
}
else {
safesystem ( "$cmd > $stdout 2> $stderr" ) or die "ERROR: Failed to run '$cmd'." ;
}
}
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sub create_extractor_script ()
{
my ( $ cmd , $ outdir ) = @ _ ;
my $ script_path = $ outdir . "/extractor.sh" ;
open ( OUT , "> $script_path" )
or die "Can't write $script_path" ;
print OUT "#!/bin/bash\n" ;
print OUT "cd $outdir\n" ;
print OUT $ cmd . "\n" ;
close ( OUT ) ;
`chmod +x $script_path` ;
return $ script_path ;
}