[PDF] Top 20 Target Side Context for Discriminative Models in Statistical Machine Translation

... the translation of “mining” (“tˇeˇzba”) would have to be in a different case and at a different position in the ...the context (span of years) into con- sideration and correctly disambiguates the trans- ... See full document

... and target language phrases to- gether with an alignment between the words within the ...tistical translation models is that word context and local changes in word order are explicitly consid- ... See full document

... simplest models in the context of lexical triggers is the IBM model 1 (Brown et ...and target words in a very broad sense since the pairs are trained on the full sen- tence ...it models p(f ... See full document

... Some of the limitations with the syntax based approaches such as (Yamada and Knight, 2002; Quirk et al., 2005; Chiang, 2005) are, (1) They do not offer flexibility for adding linguistically motivated features, and (2) It ... See full document

... tive models for SMT must address, in particular the problems of spurious ambiguity and degenerate so- ...same target sen- tence by applying a sequence of steps (a derivation) of either phrase translations ... See full document

... Translation models used for statistical ma- chine translation are compiled from par- allel corpora; such corpora are manually translated, but the direction of translation is usually ... See full document

... Another popular task in SMT is domain adapta- tion (Foster et al., 2010). It tries to take advantage of any out-of-domain training data by combining them with the in-domain data in an appropriate way. In our sub-sampled ... See full document

... We focus on alignment with IBM Model 1 and HMMs. HMMs are commonly used to generate alignments from which state of the art SMT systems are built. Model 1 is used as an intermediate step in the creation of more pow- erful ... See full document

... good translation quality can be trained by using the base SMT ...the translation quality of the phrase-based SMT, although the efficiency of the training may be reduced because of its iterative ...other ... See full document

... Identical low-resource initial conditions are ap- plied to each selection strategy so that they may be objectively compared. A very small seed corpus S is sampled from the available parallel training data; the remainder ... See full document

... mial models like our LMs and TMs, there is a one to one correspondence between instances and features, eg the correspondence between a phrase pair (s, t) and its conditional multinomial probability p(s | ... See full document

... To ensure the recency results reported above were not limited to French-English, this time our paral- lel input stream was generated from the German- English language pair of Europarl with German as source and English ... See full document

... Monotone decoding translates words in the same or- der they appear in the source language. Hence, the input and output sentences have the same word order. Monotone decoding is very efficient since the optimal decoding ... See full document

... ISI machine translation systems, and would not have been possible without my collaborators on those projects: Steve DeNeefe, Kevin Knight, Yuval Marton, Michael Pust, Philip Resnik, and Wei ... See full document

... Statistical machine translation (SMT) systems re- quire large parallel corpora in order to be able to obtain a reasonable translation ...a target do- main (in-domain or ... See full document

... the statistical model that underlies both the gd2ga machine translation system and the Irish ...of machine translation between very closely-related languages, the latter requiring ... See full document

... 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

... chronous context-free grammar restricted to Chomsky- normal ...a statistical parser trained using a Treebank in the source language to produce parse trees and proposed a tree to string model for ...a ... See full document

... Syntax-based machine translation, in which the transfer is achieved from and/or to the level of syntax, has become widely used in the statisti- cal machine translation community (Bojar et ... See full document

... Accuracy of Statistical Machine Translation (SMT) systems is continually increasing, but systems are now more complex than ever before. As a result, not all effects of making modifications to a ... See full document