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hmm-based word alignment

HMM Based Word Alignment in Statistical Translation

HMM Based Word Alignment in Statistical Translation

... HMM Based Word Alignment in Statistical Translation H M M B a s e d W o r d A l i g n m e n t in S t a t i s t i c a l T r a n s l a t i o n S t e p h a n V o g e l H e r m a n n N e y C h r i s t o p[.] ...

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HMM Word and Phrase Alignment for Statistical Machine Translation

HMM Word and Phrase Alignment for Statistical Machine Translation

... source word fertility, and the distortion model. The WtoP alignment model includes the first two of ...(Markov) alignment process as well as by the phrase count ...WtoP alignment model and ...

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A Phrase Based HMM Approach to Document/Abstract Alignment

A Phrase Based HMM Approach to Document/Abstract Alignment

... or a summary word should be aligned to a differ- ent, non-identical document word. We can see the PBHMM O model as giving us an upper bound on performance if we were to fix this first problem. The second ...

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Joint Prediction of Word Alignment with Alignment Types

Joint Prediction of Word Alignment with Alignment Types

... Word alignment is an essential component in a sta- tistical machine translation (SMT) ...to word alignment is based on IBM models 1-5 (Brown et ...the HMM model (Vogel et ...for ...

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Research on Deep Learning HMM Word Alignment

Research on Deep Learning HMM Word Alignment

... are word alignment, ordering and translation ...them, word alignment is the basic problem for machine translation, and is also the first step for today’s mainstream machine ...using ...

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Incremental HMM Alignment for MT System Combination

Incremental HMM Alignment for MT System Combination

... The various parameters in the IHMM model are set as the optimal values found in He et al. (2008). The lexical translation probabilities used in the semantic similarity model are estimated from a small portion (FBIS + ...

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Extentions to HMM based Statistical Word Alignment Models

Extentions to HMM based Statistical Word Alignment Models

... improve alignment quality more than automatically induced ...bilingual word classes seem to provide more improvement but it still remains to be explored whether the combination of part-of-speech knowledge ...

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Indirect HMM based Hypothesis Alignment for Combining Outputs from Machine Translation Systems

Indirect HMM based Hypothesis Alignment for Combining Outputs from Machine Translation Systems

... the word order of the combined ...null word, which is inserted by the alignment normalization algorithm described in section ...synonym alignment (e.g., aligning “car” to “sedan”), and ...

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Alignment HMM based Extraction of Abbreviations from Biomedical Text

Alignment HMM based Extraction of Abbreviations from Biomedical Text

... Rule based extraction systems use a set of man- ually crafted pattern-matching rules to recognize and extract the pair of abbreviation and defini- tion: Acrophile (Larkey et ...rules based on the case of ...

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HMM Word to Phrase Alignment with Dependency Constraints

HMM Word to Phrase Alignment with Dependency Constraints

... the HMM word-to- phrase alignment model with syntactic depen- dencies by presenting a model that can incor- porate syntactic information while maintaining the efficiency of the ...is based on ...

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Online Reviews Based on the   Word Alignment Model

Online Reviews Based on the Word Alignment Model

... target/ word extraction is to identify the opinion target mentions or opinion expressions in ...and HMM [17]. Jin and Huang [17] proposed a lexicalized HMM model to perform opinion ...method ...

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Fast Collocation Based Bayesian HMM Word Alignment

Fast Collocation Based Bayesian HMM Word Alignment

... Bayesian HMM word alignment model for statistical machine ...an alignment model and a language model. The alignment component is a Bayesian extension of the standard ...long ...

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Multi Word Expression Sensitive Word Alignment

Multi Word Expression Sensitive Word Alignment

... partial alignment annotation for word ...tial alignment into word alignment, 1 which is in a similar manner to Graca et ...partial alignment anno- tation based on cognate ...

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Neural Network based Word Alignment through Score Aggregation

Neural Network based Word Alignment through Score Aggregation

... for word alignment that builds source and tar- get word window representations to com- pute alignment scores for sentence ...the alignment scores for a given target ...improves ...

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Dijkstra WSA: A Graph Based Approach to Word Sense Alignment

Dijkstra WSA: A Graph Based Approach to Word Sense Alignment

... of word sense alignment ...2005), word sense disam- biguation using an alignment of WN and Wikipedia (WP) (Navigli and Ponzetto, 2012) and semantic role labeling using a combination of ...

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Word Alignment-Based Reordering of Source Chunks in PB-SMT

Word Alignment-Based Reordering of Source Chunks in PB-SMT

... a word-aligned parallel corpus, Bisazza and Federico (2010) proposed a chunk-based reordering technique that impacts the VSO type sentences in Arabic– English machine ...proposed word ...

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Improving Word Alignment using Word Similarity

Improving Word Alignment using Word Similarity

... for word similarity probabilities, but an automatic method would be ...the word similarity model, which can automatically be trained from monolingual data, and then consider a more practical variant, which ...

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Bootstrapping Word Alignment via Word Packing

Bootstrapping Word Alignment via Word Packing

... same word aligner as for previous experi- ...a word aligner, this can actually be seen as a pre-processing step prior to ...the word segmenter mentioned in Section ...

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Word Alignment of English Chinese Bilingual Corpus Based on Chucks

Word Alignment of English Chinese Bilingual Corpus Based on Chucks

... After produce the word candidate sets by statistical method, we calculate the translation relation probability between every word pair and select the best alignment forms.. We evaluate o[r] ...

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Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets

Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets

... different word aligners ...the word-aligner was further improved so that current performance on the same data is about 1% better on all scores in word alignment and about 2% better in wordnet- ...

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