• No results found

[PDF] Top 20 Word reordering for Statistical Machine Translation Using Trigram Language Model

Has 10000 "Word reordering for Statistical Machine Translation Using Trigram Language Model" found on our website. Below are the top 20 most common "Word reordering for Statistical Machine Translation Using Trigram Language Model".

Word reordering for Statistical Machine Translation Using Trigram Language Model

Word reordering for Statistical Machine Translation Using Trigram Language Model

... Statistical machine translation is a machine trans- lation method based on statistical models, which is in contrast with rule-based machine translation as well as with ... See full document

6

Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation

Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation

... for statistical machine translation ...likely translation given a source sen- tence and a set of model ...a trigram language model and the translation ... See full document

37

A Ranking based Approach to Word Reordering for Statistical Machine Translation

A Ranking based Approach to Word Reordering for Statistical Machine Translation

... distance word reordering is a major challenge in statistical machine translation re- ...shown using source syntactic trees is an effective way to tackle this problem between two ... 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

... (lexicalized reordering) mod- els (Tillmann, 2004; Koehn et ...medium-range reordering and are prob- ably the most widely used in PSMT ...of reordering steps makes them unsuitable to capture ... See full document

12

Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation

Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation

... Example reordering rule based on subtrees A syntactic parse tree contains both the word- level categories, ...by reordering. Consequently, the tree-based reordering operates both on the ... See full document

9

Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

... therefore reordering can only be triggered by at least partially lexicalized translation ...where reordering can be captured by rules containing only labeled non-terminals ...the reordering ... See full document

43

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

... for model training. The second type is formal constraints on word permuta- ...ical word reordering model (Tillmann, 2004), and inversion transduction grammar (ITG) constraints (Wu, ... See full document

9

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

... phrase reordering model in the sys- tem trained on large bitexts, we remove colloca- tion features and only use lexical features from the last words of blocks (similar to those from the first words of ... See full document

8

Going Beyond Word Cooccurrences in Global Lexical Selection for Statistical Machine Translation using a Multilayer Perceptron

Going Beyond Word Cooccurrences in Global Lexical Selection for Statistical Machine Translation using a Multilayer Perceptron

... to word reordering like Hindi (Venkatapathy and Banga- lore, ...regression model to predict the target words from the set of n-grams in the source ...the reordering to take place in ... See full document

9

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

... Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between the source and target ...learn word reorderings. ... See full document

6

Chinese Syntactic Reordering for Statistical Machine Translation

Chinese Syntactic Reordering for Statistical Machine Translation

... the word order of this sentence quite different from that of the English ...the word reordering will be quite difficult for the word or phrase-based alignment model to ...a ... See full document

9

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

... Linguistic Reordering Models As mentioned earlier, the linguistic reordering unit is the syntactic constituent for syntactic reorder- ing, and the semantic role for semantic ...syntactic reordering ... See full document

11

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

... a reordering model for BTG that uses bilingual in- formation including class-level features of POS and word ...our model is dedi- cated to boundary features and considers different ... See full document

9

Reordering Constraints for Phrase Based Statistical Machine Translation

Reordering Constraints for Phrase Based Statistical Machine Translation

... to language model recom- bination to have an algorithm that generates the target sentence word by word or phrase by ...this reordering cannot be generated with the ITG ... See full document

7

Hierarchical Phrase based Machine Translation with Word based Reordering Model

Hierarchical Phrase based Machine Translation with Word based Reordering Model

... rates word-based reordering model into hierarchi- cal phrase-based translation to constrain word or- ...the reordering model originally proposed by Tromble and Eisner ... See full document

8

Normalization of Myanmar Grammatical Categories for Part of Speech Tagging

Normalization of Myanmar Grammatical Categories for Part of Speech Tagging

... Myanmar Language Commission are used as references for POS tagging and analyzing Myanmar ...English machine translation system, Grammatical Function Assignment, Word Sense Disambiguation, ... See full document

8

Adaptation of Reordering Models for Statistical Machine Translation

Adaptation of Reordering Models for Statistical Machine Translation

... lexicalized reordering model (RM) of an SMT system to the domain in which the system will operate using a mixture model ...of translation mod- els (TMs) and language models (LMs) ... See full document

9

Advancements in Reordering Models for Statistical Machine Translation

Advancements in Reordering Models for Statistical Machine Translation

... for statistical machine ...on Statistical Machine Translation at the North American Chapter of the Association for Compu- tational Linguistics on Human Language Technol- ogy ... See full document

11

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

... phrase-based translation systems use a word distance-based reordering model in which non-monotonic phrase alignment is penalized based on the word distance between successively ... See full document

8

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

Show all 10000 documents...