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[PDF] Top 20 Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

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Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

... flat reordering models, several re- searchers (Och et ...powerful model called lexicalized reorder- ing model that is phrase ...Lexicalized reordering model learns local ... See full document

8

Phrase Based Statistical Machine Translation: A Level of Detail Approach

Phrase Based Statistical Machine Translation: A Level of Detail Approach

... to model the translation of a phrase using the word-based translation ...literal translation of phrase constituents is often in- appropriate from a linguistic point of ... See full document

12

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

... level reordering mod- els model how to move phrases, also called orien- ...orientation model that captures some non-local phrase reorderings by a shift reduce ... See full document

9

Dynamically Shaping the Reordering Search Space of Phrase Based Statistical Machine Translation

Dynamically Shaping the Reordering Search Space of Phrase Based Statistical Machine Translation

... the reordering search space is a cru- cial issue in phrase-based SMT between dis- tant ...hurting translation qual- ity nor decoding ...loose reordering constraints is dynamically ... See full document

14

CCG Syntactic Reordering Models for Phrase based Machine Translation

CCG Syntactic Reordering Models for Phrase based Machine Translation

... Statistical phrase-based machine translation requires no linguistic information beyond word-aligned parallel corpora (Zens et ...to phrase- based systems, but the ... See full document

12

A Hierarchical Phrase Based Model for Statistical Machine Translation

A Hierarchical Phrase Based Model for Statistical Machine Translation

... Mandarin-to-English translation. We compared a baseline system, the state-of-the-art phrase-based system Pharaoh (Koehn et ...tion model on the FBIS corpus (7.2M+9.2M words); for the language ... See full document

8

Syntactic Reordering for English Arabic Phrase Based Machine Translation

Syntactic Reordering for English Arabic Phrase Based Machine Translation

... demanding reordering task of translating between two distant languages, En- glish and ...described translation direction: English to ...the reordering challenges of this translation ... See full document

9

Syntactic Phrase Reordering for English to Arabic Statistical Machine Translation

Syntactic Phrase Reordering for English to Arabic Statistical Machine Translation

... As mentioned in Section 2.1, simple pattern matching is not enough to decompose Arabic words into stems and affixes. Lexical information and context are needed to perform the decompo- sition correctly. We use the ... See full document

8

Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation

Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation

... for non-ambiguous source tree will be set to 1.0. Therefore, the decoder will prefer to use non-ambiguous TATs. However, non- ambiguous TATs usually occur only once in the training corpus, which are not reliable. Thus we ... See full document

9

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

... range reordering of verbs, in particular, represents a real challenge for state-of-the- art SMT systems and is one of the main reasons why translation quality is often so poor in this language ...of ... See full document

12

Entropy based Pruning for Phrase based Machine Translation

Entropy based Pruning for Phrase based Machine Translation

... English with large distance reorderings between phrases are more prone to search errors and benefit more from our pruning algorithm. To illustrate this, let us consider the source sentence “John married in Portugal”, and ... See full document

10

A Phrase Based,Joint Probability Model for Statistical Machine Translation

A Phrase Based,Joint Probability Model for Statistical Machine Translation

... with phrase translations that are learned independent of a translation model can also affect the decoder ...tical translation memory of phrases in conjunction with a statistical ... See full document

7

A Tree to String Phrase based Model for Statistical Machine Translation

A Tree to String Phrase based Model for Statistical Machine Translation

... rules, phrase CFG rules, word-to-phrase tree transformation (W2PTT) rules, and reordering ...a reordering rule since word alignment is not perfect (Nguyen and Shimazu, ... See full document

8

A Neural Reordering Model for Phrase based Translation

A Neural Reordering Model for Phrase based Translation

... a maximum entropy model to predict whether to merge two blocks in a straight or an inverted order in their ITG ...similar model for hierarchical phrase reordering models (Galley ... See full document

11

Sentence Type Based Reordering Model for Statistical Machine Translation

Sentence Type Based Reordering Model for Statistical Machine Translation

... Some readers may argue that the features to distinguish the sentence types are very obvious in Chinese. For example, “ ? ” can easily sepa- rate the interrogative sentences from non- question sentences. In this case, a ... See full document

8

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation

... Phrase-based statistical machine translation (PBSMT) (Koehn et ...word reordering. Since PBSMT models the translation process using a phrase table, it is not easy ... See full document

10

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

... global reordering model that explicitly models long distance re- ordering 1 ...of reordering patterns, namely MA (monotone adjacent), MG (monotone gap), RA (reverse adjacent), and RG (reverse ...are ... See full document

8

Maximum Entropy Based Lexical Reordering Model for Hierarchical Phrase-based Machine Translation

Maximum Entropy Based Lexical Reordering Model for Hierarchical Phrase-based Machine Translation

... hierarchical phrase-based (HPB) model on the basis of a synchronous context-free grammar (SCFG) is prominent in solving global ...HPB model is inadequate to supervise the reordering ... See full document

10

A Novel Reordering Model Based on Multi layer Phrase for Statistical Machine Translation

A Novel Reordering Model Based on Multi layer Phrase for Statistical Machine Translation

... hierarchical phrase-based translation model (HPTM) reorganizes phrases into hierarchical ones by reducing sub-phrases to variables (Chiang ...a maximum entropy-based ... See full document

9

Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation

Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation

... improve translation output– has been explored by many ...for translation from French to English, where context-free constituency reordering rules are acquired automatically using source and target ... See full document

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