[PDF] Top 20 Extentions to HMM based Statistical Word Alignment Models
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Extentions to HMM based Statistical Word Alignment Models
... Null word has proven ...keep models from aligning everything to Null or to keep them from aligning nothing to Null (Och and Ney, ...next word in the target language by a mixture ...target word ... See full document
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Simpler Is Better: Re-evaluation of Default Word Alignment Models in Statistical MT
... simpler alignment model introduced together with HMM-based alignment in (Vogel et ...worse alignment error rate, results in es- sentially the same translation quality like ... See full document
8
Context Dependent Alignment Models for Statistical Machine Translation
... form experiments on the NIST Arabic-English transla- tion task. The mt02 05 tune and mt02 05 test data sets are formed from the odd and even numbered sentences of the NIST MT02 to MT05 evaluation sets respectively; each ... See full document
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Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
... ing based on word-aligned ...the word alignment toolkit such as GIZA++ is not ...the word-aligned data generated ...heuristic- based approaches (Sundermeyer et ... See full document
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Hierarchical Phrase Based Translation Grammars Extracted from Alignment Posterior Probabilities
... tegrate word alignment and rule ...extraction based on word and phrase posterior distributions provided by the HMM word-to-word alignment ...to-source ... See full document
10
A Phrase Based HMM Approach to Document/Abstract Alignment
... that statistical summarization systems could leverage to learn how to create novel ...document/abstract alignment models are not powerful enough to capture these ... See full document
8
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... chunk alignment from Chinese-English parallel ...chunk alignment (Zhou ...chunk alignment; they used an SMT based model for chunk translation and then aligned the source- target chunk pairs ... See full document
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Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... Current word alignment models for statisti- cal machine translation do not address mor- phology beyond merely splitting ...two-level alignment model that dis- tinguishes between words and ... See full document
9
Semi Supervised Training for Statistical Word Alignment
... use word-level translation tables informed by both the “E to F” and the “F to E” translation directions derived us- ing the three symmetrization heuristics, the “E to F” translation table from the final iteration ... See full document
8
Improving Statistical Word Alignment with a Rule Based Machine Translation System
... tistical word alignment results by using a rule- based translation ...source word or phrase, we select appropriate alignment links among statistical word alignment ... See full document
7
Bayesian Word Alignment for Statistical Machine Translation
... Word alignment is a crucial early step in the training of most statistical machine translation (SMT) sys- tems, in which the estimated alignments are used for constraining the set of candidates in ... See full document
6
Regularizing Mono and Bi Word Models for Word Alignment
... of models we term Bi-word ...such models. We first address known con- ditional models called single-word based models, focusing on a weakness known as garbage collec- ... See full document
10
Log Linear Models for Word Alignment
... Log-linear models, which are very suitable to in- corporate additional dependencies, have been suc- cessfully applied to statistical machine translation (Och and Ney, ...for word alignment ... See full document
8
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 ... See full document
8
Fast Collocation Based Bayesian HMM Word Alignment
... Bayesian HMM (Section 2) and BHMM-Z is our novel collocation-based model (Sec- tion ...Bayesian models perform mostly on par with maximum-likelihood ...Bayesian models lose to Giza++ only in D ... See full document
10
Guiding Statistical Word Alignment Models With Prior Knowledge
... There are 25K entries in the English vocabulary and 90K in Arabic side. Data sparseness severely challenges word alignment model and consequently automatic phrase translation induction. There are 42K ... See full document
8
Statistical Transliteration for Cross Language Information Retrieval using HMM alignment model and CRF
... selected statistical model for translitera- tion is based on HMM alignment and ...CRF. HMM alignment maximizes the probability of the observed (source, target) word pairs ... See full document
6
A Joint Model for Unsupervised Chinese Word Segmentation
... ticated statistical model, usually nonparametric Bayesian models, to find the segmentation with highest posterior probability, given the observed character ...Typical statistical mod- els includes ... See full document
10
HMM Word to Phrase Alignment with Dependency Constraints
... the HMM word- to-phrase alignment model with syntac- tic dependency ...current HMM word-to-phrase alignment models on a Phrase-Based Statistical Machine ... See full document
9
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[.] ... See full document
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