[PDF] Top 20 A Comparison of Alignment Models for Statistical Machine Translation
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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
A Systematic Comparison of Various Statistical Alignment Models
... various statistical alignment models and heuristic ...new statistical alignment model, a log-linear combination of the best models of Vogel, Ney, and Tillmann (1996) and Brown, ... See full document
33
Context Dependent Alignment Models for Statistical Machine Translation
... a comparison of the system trained using CD HMMs with the baseline sys- tem, which was trained using CI HMM models on un- tagged ...context-dependent models result in a gain in BLEU score of ... See full document
9
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
Enhancing Statistical Machine Translation with Character Alignment
... fair comparison with WordSys as suggested by Duan et ...for translation is quite ...for alignment is not necessarily better for translation, and vice ... See full document
6
Syntactic Re Alignment Models for Machine Translation
... in statistical machine translation (Figure ...proposed translation model from a bitext training corpus, and then di- rectly translates using the weighted ... See full document
9
The Alignment Template Approach to Statistical Machine Translation
... the statistical alignment models used to obtain a word alignment and techniques for learning phrase translations from word ...word-based statistical translation models in ... See full document
33
Distortion Models for Statistical Machine Translation
... word reorderings during the translation process. Trying all possible word reordering is an NP-Complete prob- lem as shown in (Knight, 1999), which makes search- ing for the optimal solution among all possible ... See full document
8
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
Bayesian Word Alignment for Statistical Machine Translation
... the alignment probabilities are inferred by integrating over all possible parameter values as- suming an intuitive, sparse ...order alignment models, and (2) many state-of-the- art SMT systems use ... See full document
6
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
Statistical Machine Translation Models for Personalized Search
... a translation model learnt from explicit feedback of the user using statistical translation ...A translation model is a proba- bilistic model consisting of the triples, the source word, the ... See full document
8
Mixing Multiple Translation Models in Statistical Machine Translation
... the models accuracies are high and close to each other with some degree of ...component models and this perfectly works for settings such as the one in (Petrov, 2010) where a number of parsers are trained ... See full document
10
Stream based Translation Models for Statistical Machine Translation
... the translation models trained on material chronologically closer to the given test ...the models that are retrained show that we achieve a higher translation performance when using more up- ... See full document
9
Triplet Lexicon Models for Statistical Machine Translation
... Table 3 shows the effect of a maximum distance constraint for the Spanish-English direction. Due to the large amount of triplets (we extract roughly two billion triplets 2 for the EPPS data), we drop all triplets that ... See full document
10
Adaptation of Reordering Models for Statistical Machine Translation
... for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model ...these models should be esti- mated ... See full document
9
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... GEC models. The performance of four recent models, namely three neural machine translation (NMT)- based models (LSTM, CNN, and transformer) and a statistical machine ... See full document
6
Advancements in Reordering Models for Statistical Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document
11
Statistical models for text normalization and machine translation
... Evaluating the MT system itself proved problematic. Even though we were able to assemble a parallel corpus, the vast majority of the texts are translations from a common English source (principally, the open-source ... 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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