[PDF] Top 20 A Finite State Approach to Phrase Based Statistical Machine Translation
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A Finite State Approach to Phrase Based Statistical Machine Translation
... However, the word error rate (WER) is a very common measure in the area of speech recognition which is also quite usually applied in SMT (Och et al., 1999). Although it is not so widely employed as BLEU, there exists ... See full document
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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 number of ... See full document
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Cohesive Phrase Based Decoding for Statistical Machine Translation
... allow translation events to span sub- tree units, providing several advantages, including the ability to selectively produce uncohesive transla- tions (Eisner, 2003; Graehl and Knight, 2004; Quirk et ...cohesive ... See full document
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Incremental Decoding for Phrase Based Statistical Machine Translation
... decoder state at every stage and uses it while decoding for each newly added ...decoder state might later turn out to better candidates resulting in search errors com- pared to decoding the entire sentence ... See full document
8
Approach to Selecting Best Development Set for Phrase-Based Statistical Machine Translation
... the phrase-based method but not so ...the phrase-based ...structure- based method is 0.02% lower than the phrase-based ... See full document
10
Exact Decoding for Phrase Based Statistical Machine Translation
... of state-of-the-art approximate search ...the translation forest and the language model by expanding a limited beam of hypotheses from each nonterminal ... See full document
13
Improvements in Phrase Based Statistical Machine Translation
... Recently, phrase-based translation approaches became more and more ...simple phrase-based approach is described that served as starting point for the system in this ...for ... See full document
8
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- ... See full document
8
Interlocking Phrases in Phrase based Statistical Machine Translation
... conditional-random-field approach to discrimi- natively train phrase based machine translation in which training and decoding are both cast in a sampling ...their approach ... See full document
6
Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... the translation process (Zamora-Martínez et ...be based on the work on distributed LMs, for instance (Brants et ...space translation models in an bilingual tuple system only used rescoring (Schwenk ... See full document
10
Statistical Phrase Based Post Editing
... This state of affairs has prompted some to ex- amine the possibility of automating the post-editing process itself, at least as far as “repetitive errors” are ...using statistical machine ... See full document
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Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model
... two state-of- the-art systems through a process of re-scoring, to the NEWS 2010 Workshop shared task on transliteration ...grapheme-to-grapheme approach taken here and address the problem of how best to ... See full document
5
Character Cluster Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation
... segmentation approach for Phrase-Based Statistical Machine Translation (PB-SMT) to languages where word boundaries are not obviously marked by using both monolingual and ... See full document
8
Statistical Machine Translation Improvement based on Phrase Selection
... MI(a, b) = P (a, b)log P P (a)P (a, b) (b) (1) Where a and b are respectively a source and a tar- get words. P(a, b) is the joint probabilities and P(a) and P(b) are marginal probabilities. For each source unit a, the ... See full document
7
Active Learning for Statistical Phrase based Machine Translation
... a phrase-based SMT system, and one of the conclusions they draw is, “The first obvious approach is an effort to iden- tify or produce data sets on demand (active learning, where the learning system ... See full document
9
Phrase Training Based Adaptation for Statistical Machine Translation
... novel approach for translation model (TM) adaptation using phrase train- ...perform phrase training on a smaller in-domain ...lectures translation tasks show significant improvements of ... See full document
6
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 ...Our approach differs in ... See full document
9
Pivot Language Approach for Phrase Based Statistical Machine Translation
... In all of the above results, the corpora used to train the pivot models are not changed. In order to ex- amine the effect of the size of the pivot corpora, we decrease the French-English and English- French corpora. We ... See full document
8
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
Supertagged Phrase Based Statistical Machine Translation
... the approach proposed here (such as the syntactified target phrases), there re- main a number of significant ...extract phrase pairs in the standard way (Och & Ney, 2003) and associate with each ... See full document
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