[PDF] Top 20 Integrating Phrase based Reordering Features into a Chart based Decoder for Machine Translation
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Integrating Phrase based Reordering Features into a Chart based Decoder for Machine Translation
... The Hiero baseline performs on average 0.26 BLEU points better than the phrase-based sys- tem with lexicalized reordering features (PB+lex). The hrasal-Hiero system used 80.54% of the total ... See full document
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Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation
... Hierarchical phrase-based (HPB) translation provides a powerful mechanism to capture both short and long distance phrase reorder- ...the phrase reorderings lack of contextual ... See full document
9
Linguistically Motivated Reordering Modeling for Phrase-Based Statistical Machine Translation
... the reordering capabilities of the system with respect to ...verb reordering on phrase ...‘the reordering-specific ...the decoder catch all the needed long ... See full document
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A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation
... probabilistic reordering model that models directly the source translation se- quence and explicitly assigns probabilities to the reorderings of the source input with no restrictions on gap, length or ... See full document
9
Integrating Translation Memory into Phrase Based Machine Translation during Decoding
... unmatched phrase in the TM source sentence, they replace its corresponding translation in the TM target sentence by the corresponding source phrase in the input sentence, and then mark the ... See full document
11
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
... phrasal reordering is totally dependent on the language model (NONE) we get the worst performance, even worse than the monotone ...distortion reordering models (Row 3 and 4) show similar performance with ... See full document
8
Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation
... for phrase-based statistical machine translation (SMT) has been studied by several researchers in recent years (Blackwood et ...the phrase segmentation model for the following ...the ... See full document
10
Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation
... use phrase-based statistical machine translation (PSMT) to translate between language pairs which require long-range re- ordering has attracted a great deal of interest in re- cent ...the ... See full document
10
Maximum Entropy Based Lexical Reordering Model for Hierarchical Phrase-based Machine Translation
... proper translation rules during ...context based model are used to predict proper ...the decoder as a source language ...the decoder toward certain SCFG rules that are considered ...lexical ... See full document
10
A Neural Reordering Model for Phrase based Translation
... hierarchical phrase reordering models (Galley and Manning, ...sparse reordering features and create more flexible distributions (Cherry, ...neural reordering model is capable of ... See full document
11
A Smorgasbord of Features to Combine Phrase Based and Neural Machine Translation
... of features to better model the fluency and the adequacy of the hypotheses can potentially find a better hypothesis than the one- best hypotheses originated by either the PBSMT or NMT ... See full document
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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 for pronoun ... See full document
6
Dynamically Shaping the Reordering Search Space of Phrase Based Statistical Machine Translation
... time. Reordering constraints are also important for translation quality because the existing models are typically not discriminative enough to guide the search over very large sets of reordering ... See full document
14
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... statistical machine translation performed with phrase based approaches can be increased by permuting the words in the source sentences in an order which resem- bles that of the target ... See full document
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Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... statistical machine trans- lation performed with phrase based ap- proaches can be increased by permuting the words in the source sentences in an order which resembles that of the target ...syntax ... See full document
11
Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation
... four features on the document level. The first two features are type token ra- tio (TTR) and a reformulation of it, OVIX, which is less sensitive to text ...and phrase level (QP). These ... See full document
6
Hierarchical Phrase based Machine Translation with Word based Reordering Model
... of features we used in our experiments. We did not use context features like surrounding word pos features in Table 3 because they were not useful in our preliminary experiments and propose an effi- ... See full document
8
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global ...global reordering capability of SMT ...the ... See full document
8
Improved Reordering for Phrase Based Translation using Sparse Features
... sparse features, especially for phrase- based ...sparse features to ad- dress reordering, which is often considered a weak point of phrase-based ...hierarchical ... See full document
10
CCG Syntactic Reordering Models for Phrase based Machine Translation
... a phrase-based system is problematic. Phrase- based systems build the result incrementally from the beginning of the target string to the end, and the intermediate strings need not constitute ... See full document
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