[PDF] Top 20 A Systematic Comparison of Various Statistical Alignment Models

... the alignment quality of statistical methods when linguistic knowledge is used (Ker and Chang 1997; Huang and Choi ...the models that are needed to obtain a good alignment ... See full document

... translation models define weighted transduction rules that represent translation and reordering oper- ations via nonterminal ...this comparison on three NIST language translation tasks; Chinese-to-English, ... See full document

... A systematic skewness by just a unit value of induced skewness across sequence, can lead to large range of possible outcomes of comparative optinalysis with the original ...induced systematic skewization ... See full document

... For the studies that compared performance of a new score and previously tested scores, the statistical methods of comparison were recorded. Additional statistics included c-index, Bayesian information ... See full document

... 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

... Koehn, Philipp, 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

... pairwise-interaction models that satisfy strong hier- archy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients ... See full document

... 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

... from various starting points is ...DM models, and the use of additional bounds on the mass points can be useful, based on the definition of (potentially mutually exclusive) a priori intervals for the ... See full document

... word alignment models underpin most popular Statistical Machine Translation implementations in use ...these models provide a scalable and reliable starting point for inducing translation ... See full document

... Morphological segmentation is an effective strategy for addressing difficulties caused by morphological complexity. In this study, we use an English-to-Arabic test bed to determine what steps and components of a ... See full document

... ????????? ??? ??????????? ???? ?????????????? ?!?? !"#?$?%?&??"????(')???*???+' ,??? ?? ?&???? ?"$???%?&???? ??"&?? ???')?? ??&?0/1?#243??5?6?5 ?3??5 ??????%/7?8?9??? ?5 ??&????? ?;???13??5??"$< =?>?@[.] ... See full document

... word alignment is carried out on lowercased and possibly lemmatised ver- sions of the ...manual alignment the percentage of correct paraphrases significantly rises from ... See full document

... Even if two comparable documents have few or no parallel sentence pairs, there could still be paral- lel sub-sentential fragments, including word transla- tion pairs, named entities, and long phrase pairs. The ability to ... See full document

... a comparison based on multiple sequence alignments of the XAC1201 protein with homologous regions of the sequences of several organisms, mostly uncharacterized HD-superfamily members that either occur as ... See full document

... We present a new approach to named-entity recognition that jointly learns to identify named-entities in parallel text. The sys- tem generates seed candidates through local, cross-language edit likelihood and then boot- ... See full document

... J.Lafferty explores the use of Condition Random Field (CRF) model for building probabilistic models and labeling sequence data. They are a probabilistic framework for labeling and segmenting structured data, such ... See full document

... In sum, the analyses carried out in this paper point out that frequency information plays an im- portant role in dependency-based collocation ex- traction. Nevertheless, the results also showed that the precision of both ... See full document

... After discussing various approaches to phonetic alignment, I present a new algorithm that combines a number of techniques developed for sequence comparison with a scoring scheme for comp[r] ... See full document

... We also investigated the effect of the maximum n-gram order for the n-gram level maximum like- lihood estimation (MLE). The results are shown in Figure 1. We observe an increase of the Bleu score with increasing maximum ... See full document