From 300483628566025c3946ff455001717e41091442 Mon Sep 17 00:00:00 2001 From: Rico Sennrich Date: Wed, 1 Jun 2016 14:49:14 +0100 Subject: [PATCH] update reference --- README.md | 4 ++-- apply_bpe.py | 3 ++- bpe_toy.py | 3 ++- learn_bpe.py | 3 ++- 4 files changed, 8 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 8ac0d3e..295b257 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,6 @@ PUBLICATIONS The segmentation methods are described in: -Rico Sennrich, Barry Haddow and Alexandra Birch (2015): +Rico Sennrich, Barry Haddow and Alexandra Birch (2016): Neural Machine Translation of Rare Words with Subword Units - http://arxiv.org/abs/1508.07909 \ No newline at end of file + Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Berlin, Germany. \ No newline at end of file diff --git a/apply_bpe.py b/apply_bpe.py index 736e822..bb0d7c8 100755 --- a/apply_bpe.py +++ b/apply_bpe.py @@ -7,7 +7,8 @@ The text will not be smaller, but use only a fixed vocabulary, with rare words encoded as variable-length sequences of subword units. Reference: -Rico Sennrich, Barry Haddow and Alexandra Birch (2015). Neural Machine Translation of Rare Words with Subword Units. +Rico Sennrich, Barry Haddow and Alexandra Birch (2016). Neural Machine Translation of Rare Words with Subword Units. +Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Berlin, Germany. """ from __future__ import unicode_literals, division diff --git a/bpe_toy.py b/bpe_toy.py index 6e9bed3..967236f 100644 --- a/bpe_toy.py +++ b/bpe_toy.py @@ -9,7 +9,8 @@ This is an (inefficient) toy implementation that shows the algorithm. For proces indexing and incremental updates can be used to speed up the implementation (see learn_bpe.py). Reference: -Rico Sennrich, Barry Haddow and Alexandra Birch (2015). Neural Machine Translation of Rare Words with Subword Units. +Rico Sennrich, Barry Haddow and Alexandra Birch (2016). Neural Machine Translation of Rare Words with Subword Units. +Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Berlin, Germany. """ diff --git a/learn_bpe.py b/learn_bpe.py index 22e8782..8c9f293 100755 --- a/learn_bpe.py +++ b/learn_bpe.py @@ -7,7 +7,8 @@ Unlike the original BPE, it does not compress the plain text, but can be used to of a text to a configurable number of symbols, with only a small increase in the number of tokens. Reference: -Rico Sennrich, Barry Haddow and Alexandra Birch (2015). Neural Machine Translation of Rare Words with Subword Units. +Rico Sennrich, Barry Haddow and Alexandra Birch (2016). Neural Machine Translation of Rare Words with Subword Units. +Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). Berlin, Germany. """ from __future__ import unicode_literals