[PDF] Top 20 Insertion and Deletion Models for Statistical Machine Translation
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Insertion and Deletion Models for Statistical Machine Translation
... To set up our systems, we employ the open source statistical machine translation toolkit Jane (Vilar et al., 2010; Vilar et al., 2012), which is freely avail- able for non-commercial use. Jane ... See full document
5
Syntactic Models for Structural Word Insertion and Deletion during Translation
... in translation neglected by most recent statistical machine translation systems is insertion and deletion of words, such as function words, motivated by linguistic structure ... See full document
10
Deep Syntax Language Models and Statistical Machine Translation
... We carry out an experimental evaluation to inves- tigate the potential of the deep syntax language model we describe in this paper independently of any machine translation system. We train a 5- gram deep ... See full document
9
Multiple stream Language Models for Statistical Machine Translation
... The weighted interpolation results suggest that while naive combination of the streams may be mis- guided, average translation performance can be im- proved upon when using more than a single in- domain stream. ... See full document
10
Continuous Space Language Models for Statistical Machine Translation
... automatic machine translation could be deployed and for which considerably less appropriate in-domain training data is ...records, translation systems for tourism related tasks or even any task for ... See full document
8
Large and Diverse Language Models for Statistical Machine Translation
... In the WMT 2007 shared task evaluation campaign (Callison-Burch et al., 2007) domain adaptation was a special challenge. Two training corpora were pro- vided: a small in-domain corpus (News Commen- tary) and the about 30 ... See full document
6
Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... The translation model P ( s | t ) is estimated from bitexts and the language model P ( t ) from monolingual ...phrase-based models which translate short sequences of words together (Koehn et ...The ... See full document
10
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
... the translation and language models can further improve the translation ...a translation model trained on a concatenation of S → T and T → S parallel corpora and a language model compiled from ... See full document
26
Adaptation of Reordering Models for Statistical Machine Translation
... best translation practice differs widely across genres, topics, and di- alects, and even depends on a particular author’s or publication’s style; the word “domain” is often used to indicate a particular ... See full document
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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
Bilingual Cluster Based Models for Statistical Machine Translation
... for statistical machine ...and translation models also benefit statistical machine ...and translation models are then used for the translation ... See full document
10
Local Phrase Reordering Models for Statistical Machine Translation
... ing models developed for use in statistical machine ...The models are carefully formulated so that they can be implemented as WFSTs, and we show how the models can be incorporated into ... See full document
8
Context Dependent Alignment Models for Statistical Machine Translation
... We have introduced context-dependent Model 1 and HMM alignment models, which use context information in the source language to improve estimates of word- to-word translation probabilities. Estimation of ... See full document
9
Improved Models of Distortion Cost for Statistical Machine Translation
... So far, we have developed a search heuristic func- tion that gives us a greater ability to control search at high distortion limits. Now we need a cost model that is sensitive to the behavior of certain words dur- ing ... See full document
9
Improving Statistical Machine Translation with Word Class Models
... improving machine translation ...two translation tasks and with both the standard phrase-based and the hierarchi- cal phrase-based translation ...frequency translation probabilities, ... See full document
5
Bilingual Structured Language Models for Statistical Machine Translation
... that models sentence genera- tion ...use models whose score can be computed ...language models define sentence generation hierarchically (Shen et ... See full document
11
Triplet Lexicon Models for Statistical Machine Translation
... The work in this paper tries to complement the WSD approaches by using long-range dependen- cies. If triggers from a local context determine dif- ferent lexical choice for the word being triggered, the setting is ... See full document
10
Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
... training corpora. Loose translations are less of a problem for string based approaches than for approaches that require syntactic analysis. Hajic et al. (2002) limited non-isomorphism by n-to-m matching of nodes in the ... See full document
8
Stream based Translation Models for Statistical Machine Translation
... Typical statistical machine translation sys- tems are trained with static parallel corpora. Here we account for scenarios with a continu- ous incoming stream of parallel training data. Such scenarios ... See full document
9
Mixing Multiple Translation Models in Statistical Machine Translation
... Statistical machine translation (SMT) systems re- quire large parallel corpora in order to be able to obtain a reasonable translation ... See full document
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