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[PDF] Top 20 Jane 2: Open Source Phrase based and Hierarchical Statistical Machine Translation

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Jane 2: Open Source Phrase based and Hierarchical Statistical Machine Translation

Jane 2: Open Source Phrase based and Hierarchical Statistical Machine Translation

... Figure 2: Effect of IBM phrase reordering con- straints in the phrase-based decoder for the NIST Chinese→English translation ... See full document

10

Better Evaluation Metrics Lead to Better Machine Translation

Better Evaluation Metrics Lead to Better Machine Translation

... a hierarchical phrase-based statistical machine translation system, with the TESLA metrics results in significantly better human- judged translation quality than the BLEU- ... See full document

10

Exact decoding for phrase-based statistical machine translation

Exact decoding for phrase-based statistical machine translation

... In the context of hierarchical models, Aziz et al. (2013) work with unpruned forests using up- perbounds. Their approach is the closest to ours. They also employ a coarse-to-fine strategy with the OS ∗ framework ... See full document

14

Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models

Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models

... present Jane, RWTH’s hierarchical phrase-based translation system, which has been open sourced for the scientific ...ferent machine translation ...the ... See full document

9

Soft Dependency Matching for Hierarchical Phrase based Machine Translation

Soft Dependency Matching for Hierarchical Phrase based Machine Translation

... rule based on the training ...section 2 has discussed the theoreti- cal difference with related work on adding source syntax into the HPB model, we are interested in empirical ly comparing our method ... See full document

10

Automated Grammar Correction Using Hierarchical Phrase Based Statistical Machine Translation

Automated Grammar Correction Using Hierarchical Phrase Based Statistical Machine Translation

... Initially the work that has been done in grammar correction is based on identifying grammar errors. Chodorow and Leacock (2000) used an ngram model for error detection by comparing correct ngrams with ngrams to be ... See full document

5

Improvements in Phrase Based Statistical Machine Translation

Improvements in Phrase Based Statistical Machine Translation

... Single-Word Based Systems (SWB). First, there is a monotone search variant (Mon) that translates each word of the source sentence from left to right. The second vari- ant allows reordering according to the ... See full document

8

NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

... a phrase table and two reordering models for the phrase-based system, or a Synchronous Context-free/Tree-substitution Grammar (SCFG/STSG) for the hierarchical phrase-based and ... See full document

6

Learning Word Reorderings for Hierarchical Phrase based Statistical Machine Translation

Learning Word Reorderings for Hierarchical Phrase based Statistical Machine Translation

... reordering source words have been used to enhance the hier- archical phrase-based statistical machine translation ...two source words in a sentence or only for two ... See full document

7

Effective Incorporation of Source Syntax into Hierarchical Phrase based Translation

Effective Incorporation of Source Syntax into Hierarchical Phrase based Translation

... in statistical machine translation (SMT), with hierarchical phrase-based translation (Chiang, 2005) as the dominant ...nested translation re- ...by source or ... See full document

11

NAVER Machine Translation System for WAT 2015

NAVER Machine Translation System for WAT 2015

... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based ... See full document

5

Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase based Statistical Machine Translation

Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase based Statistical Machine Translation

... a statistical machine translation method already ap- plied to several similar tasks (Brockett et ...alternative translation models including syntax- based and hierarchical ... See full document

6

Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation

Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation

... a hierarchical phrase-based SMT model similar to Chiang ...for source-side development dataset to measure ...for translation performance evaluation is ... See full document

5

Connecting Phrase based Statistical Machine Translation Adaptation

Connecting Phrase based Statistical Machine Translation Adaptation

... EN phrase based translation baseline systems are ...trained. Translation per- formances are measured by case-insensitive BLEU (Papineni et ...(BLEU based) is run three times for each ... See full document

11

Cohesive Phrase Based Decoding for Statistical Machine Translation

Cohesive Phrase Based Decoding for Statistical Machine Translation

... syntax-driven source reordering before de- coding begins (Xia and McCord, 2004; Collins et ...2007). 2 We attempt some- thing between these two approaches: our constraint is derived from a linguistic parse ... See full document

9

A Hierarchical Phrase Based Model for Statistical Machine Translation

A Hierarchical Phrase Based Model for Statistical Machine Translation

... Our experiments were on Mandarin-to-English translation. We compared a baseline system, the state-of-the-art phrase-based system Pharaoh (Koehn et al., 2003; Koehn, 2004a), against our sys- tem. For ... See full document

8

English to Urdu Hierarchical Phrase based Statistical Machine Translation

English to Urdu Hierarchical Phrase based Statistical Machine Translation

... The 4th Workshop on South and Southeast Asian NLP WSSANLP, International Joint Conference on Natural Language Processing, pages 72–76, Nagoya, Japan, 14-18 October 2013.... ºï ðòïï ðòðç.[r] ... See full document

5

Towards a Computational History of the ACL: 1980 2008

Towards a Computational History of the ACL: 1980 2008

... The 1989–1994 era corresponds to a number of important US government initiatives: MUC, ATIS, and the DARPA workshops. The Message Under- standing Conferences (MUC) were an early initia- tive in information extraction, ... See full document

9

Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation

Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation

... In machine translation, intuitively, the informative content words should be emphasized more for better adequacy of the translation ...tical translation approach does not take account how ... See full document

8

Incremental Decoding for Phrase Based Statistical Machine Translation

Incremental Decoding for Phrase Based Statistical Machine Translation

... In contrast, the delayed pruning not only avoids search errors but also provides a dynamically man- ageable search space (refer section 4.2.2) by re- taining the best of the potential candidates. In a practical scenario ... See full document

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