[PDF] Top 20 Context Dependent Alignment Models for Statistical Machine Translation
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Context Dependent Alignment Models for Statistical Machine Translation
... its own cluster, which leads to data sparsity problems. Table 2 shows the percentage of words for which the contexts are split into multiple clusters for CD Model 1 with varying improvement thresholds. This occurs when ... See full document
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Context Dependent Automatic Response Generation Using Statistical Machine Translation Techniques
... cal machine translation (SMT) techniques to- wards monolingual dialogue setting, in which a response is treated as a translation of a stim- ulus, has a great potential, and we exploit the approach to ... See full document
6
Sense Aware Statistical Machine Translation using Adaptive Context Dependent Clustering
... Statistical machine translation (SMT) sys- tems use local cues from n-gram trans- lation and language models to select the translation of each source ...larger context for WSD ... See full document
10
The Alignment Template Approach to Statistical Machine Translation
... phrase-based statistical machine translation approach — the alignment template approach — is ...This translation approach allows for general many-to-many relations between ...the ... See full document
33
Weighted Alignment Matrices for Statistical Machine Translation
... Statistical machine translation (SMT) relies heav- ily on annotated bilingual ...for translation-related knowledge, not only for phrase-based models (Och and Ney, 2004; Koehn et ...of ... See full document
10
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 ... See full document
6
Syntactic Re Alignment Models for Machine Translation
... this context is the number of non-leaf and non-root nodes in its tree ...the translation model, as the expanded rule extraction described in Section ... See full document
9
Tree to String Alignment Template for Statistical Machine Translation
... tree-to-tree models. Similarly to (Galley et al., 2004), the tree-to-string alignment templates discussed in this paper are actually transformation ... See full document
8
Stream based Translation Models for Statistical Machine Translation
... the translation and alignment probabilities for the HMM-based alignments, we employ the EM algo- rithm via dynamic ...complex models are defined, IBM Models 2 to Model 6 (Brown et ...or ... See full document
9
Multiword Expressions in the Context of Statistical Machine Translation
... We want to investigate which part of the SMT pipeline does S_VAA condition help, so we car- ried another experiment (A_VAA) where the VAA is used in the alignment stage of the pipe- line only. We simply removed ... See full document
7
Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... 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
HMM Word and Phrase Alignment for Statistical Machine Translation
... Arabic→English Translation We also evaluate our WtoP alignment models in Arabic-English transla- ...our models on NIST Arabic/English 2002, 2003 and 2004 (News only) MT evaluation sets that ... See full document
8
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... on translation quality. Using our hy- pothesis of translation consistency we expected another gain on our test ...cache translation op- tions for which the transition costs (of adding this option to ... See full document
8
Enhancing Statistical Machine Translation with Character Alignment
... shorter context size of using character as WSR for fair comparison with WordSys as suggested by Duan et ...for translation is quite ...for alignment is not necessarily better for translation, ... See full document
6
Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation
... the context-dependent lexicon scores help the SMT decoder make better use of the avail- able Chinese phrases for segmenting the input sen- ...full translation process, it does not make sense to ... See full document
8
Target Side Context for Discriminative Models in Statistical Machine Translation
... source context is the main source of information, as has been shown in previous work (Vickrey et ...source context information is required for correct disam- ... See full document
11
Improved Alignment Models for Statistical Machine Translation
... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document
9
A Comparison of Alignment Models for Statistical Machine Translation
... paper dvi A Comparison of Alignment Models for Statistical Machine Translation Franz Josef Och and Hermann Ney Lehrstuhl f?ur Informatik VI, Computer Science Department RWTH Aachen University of Techn[.] ... See full document
5
Unsupervised Alignment for Segmental based Language Understanding
... Statistical alignment methods used in machine translation are relevant in our context if we consider that the target language is the concept ...the alignment of words toward ... See full document
8
Improving Alignment Quality in Statistical Machine Translation Using Context dependent Maximum Entropy Models
... ????????? ??? ??????????? ???? ?????????????? ?!?? !"#?$?%?&??"????(')???*???+' ,??? ?? ?&???? ?"$???%?&???? ??"&?? ???')?? ??&?0/1?#243??5?6?5 ?3??5 ??????%/7?8?9??? ?5 ??&????? ?;???13??5??"$< =?>?@[.] ... See full document
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