Replaced content by pointer to online documentation.

doc/PhraseDictionaryBitextSampling.howto

@@ -1,31 +1,4 @@
-How to use memory-mapped suffix array phrase tables in the moses decoder 
-(phrase-based decoding only)
-
-1. Compile with the bjam switch --with-mm
-
-2. You need 
-   - sentences aligned text files
-   - the word alignment between these files in symal output format
-
-3. Build binary files
-
-   Let 
-   ${L1} be the extension of the language that you are translating from,
-   ${L2} the extension of the language that you want to translate into, and 
-   ${CORPUS} the name of the word-aligned training corpus
-
-   % zcat ${CORPUS}.${L1}.gz  | mtt-build -i -o /some/path/${CORPUS}.${L1}
-   % zcat ${CORPUS}.${L2}.gz  | mtt-build -i -o /some/path/${CORPUS}.${L2}
-   % zcat ${CORPUS}.${L1}-${L2}.symal.gz | symal2mam /some/path/${CORPUS}.${L1}-${L2}.mam
-   % mmlex-build /some/path/${CORPUS} ${L1} ${L2} -o /some/path/${CORPUS}.${L1}-${L2}.lex -c /some/path/${CORPUS}.${L1}-${L2}.coc
-
-4. Define line in moses.ini
-
-   The best configuration of phrase table features is still under investigation. 
-   For the time being, try this:
-
-   PhraseDictionaryBitextSampling name=PT0 output-factor=0 num-features=9 path=/some/path/${CORPUS} L1=${L1} L2=${L2} pfwd=g pbwd=g smooth=0 sample=1000 workers=1 
-
-   You can increase the number of workers for sampling (a bit faster), 
-   but you'll lose replicability of the translation output. 
+The documentation for memory-mapped, dynamic suffix arrays has moved to 
+   http://www.statmt.org/moses/?n=Moses.AdvancedFeatures#ntoc40
 
+Search for PhraseDictionaryBitextSampling.