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[PDF] Top 20 Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation

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Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation

Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation

... many translation options must be considered at each hypothesis ...in Docent does not re- quire this limitation, but it can still be useful be- cause the standard models of SMT do not model long-distance ... See full document

6

Exact Decoding for Phrase Based Statistical Machine Translation

Exact Decoding for Phrase Based Statistical Machine Translation

... Table 2 shows the average degree of refine- ment of the nodes in the final proposal. Nodes are shown by level of refinement, where m indi- cates that they store m words in their carry. The table also shows the ... See full document

13

Reordering Constraints for Phrase Based Statistical Machine Translation

Reordering Constraints for Phrase Based Statistical Machine Translation

... or phrase by ...search decoder for unconstrained search and modify it in such a way that it will produce only reorderings that do not violate the ITG ...search decoder such that it cannot produce ... See full document

7

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

... Along this line of research on using neural net- works for SMT, this paper focuses on a novel neu- ral network architecture that can be used as a part of the conventional phrase-based SMT system. The ... See full document

11

Interlocking Phrases in Phrase based Statistical Machine Translation

Interlocking Phrases in Phrase based Statistical Machine Translation

... train phrase based machine translation in which training and decoding are both cast in a sampling ...novel phrase-based conditional exponential family translation model ... See full document

6

Bidirectional Phrase based Statistical Machine Translation

Bidirectional Phrase based Statistical Machine Translation

... contemporary machine translation paradigm, and to experiment with a broader range of ...automatic translation of a sentence in a given language from a partic- ular ...phrased-based ... See full document

9

Incremental Decoding for Phrase Based Statistical Machine Translation

Incremental Decoding for Phrase Based Statistical Machine Translation

... incremental decoder (ID), which will allow translations to be generated incremen- tally for every word typed by a user, instead of waiting for the entire sentence as input by reusing the partial decoder ... See full document

8

Phrase Training Based Adaptation for Statistical Machine Translation

Phrase Training Based Adaptation for Statistical Machine Translation

... on translation model (TM) ...corpus level, where different corpora receive differ- ent weights and are then combined using mixture ...a translation quality ... See full document

6

Supertagged Phrase Based Statistical Machine Translation

Supertagged Phrase Based Statistical Machine Translation

... supertags. Decoder The decoder used in this work is Moses, a log-linear decoder similar to Pharaoh (Koehn, 2004), modified to accommodate supertag phrase probabilities and supertag language ... See full document

8

Cohesive Phrase Based Decoding for Statistical Machine Translation

Cohesive Phrase Based Decoding for Statistical Machine Translation

... phrasal decoder, we can draw some qualitative ...our phrase table and lan- guage model supports a literal translation, cohesion tends to produce an ...first translation example shown in Table ... See full document

9

Exact decoding for phrase-based statistical machine translation

Exact decoding for phrase-based statistical machine translation

... Evaluation exercises indicate that approximate search algorithms work well in practice (Bojar et al., 2013). The most popular algorithms pro- vide solutions with unbounded error, thus pre- cisely quantifying their ... See full document

14

A Hierarchical Phrase Based Model for Statistical Machine Translation

A Hierarchical Phrase Based Model for Statistical Machine Translation

... (maximum phrase length 7), and then used Koehn’s implementation of minimum- error-rate training (Och, 2003) to tune the feature weights to maximize the system’s BLEU score on our development set, yielding the ... See full document

8

Connecting Phrase based Statistical Machine Translation Adaptation

Connecting Phrase based Statistical Machine Translation Adaptation

... sentence level adaptation: different parts of a sentence may belong to different ...granular level for selection. They build lexicon, Translation Models (TMs), reordering models or Language Models ... See full document

11

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

... built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech (Tsarfaty et ...chine translation ... See full document

8

Cache based Document level Statistical Machine Translation

Cache based Document level Statistical Machine Translation

... the document pairs in the training parallel corpus are aligned at the phrase level using 2-fold ...enforce phrase alignment of the remaining training data, and vice ...target phrase ... See full document

11

Document Wide Decoding for Phrase Based Statistical Machine Translation

Document Wide Decoding for Phrase Based Statistical Machine Translation

... Adding the semantic language model results in a small increase in NIST scores (Doddington, 2002) for all three test sets as well as a small BLEU score gain (Papineni et al., 2002) for two out of three cor- pora. We note ... See full document

12

Phrase Based Statistical Machine Translation: A Level of Detail Approach

Phrase Based Statistical Machine Translation: A Level of Detail Approach

... all phrase translations in one step, either di- rectly from the sentence pair or through word ...of phrase translation candidates at ...maximum phrase length to reduce the choice of ...good ... See full document

12

Novel Document Level Features for Statistical Machine Translation

Novel Document Level Features for Statistical Machine Translation

... introduce document level features that capture necessary informa- tion to help MT system perform better word sense disambiguation in the transla- tion ...Entropy based translation model, ... See full document

5

A Document Level SMT System with Integrated Pronoun Prediction

A Document Level SMT System with Integrated Pronoun Prediction

... pronoun-focused translation task at DiscoMT 2015 is a document-level phrase-based statistical ma- chine translation (SMT) system integrating a neu- ral network classifier ... See full document

6

Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation

Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation

... of decoder based phrase segmentation and a new algorithm which can iteratively train the segmentation ...segmentation based on the evaluation metric of the translation ...the ... See full document

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