phrase-based statistical language models
Supertagged Phrase Based Statistical Machine Translation
... the language model a penalty imposed when formal compostion operators are ...n-gram language model with a penalty factor that measures the number of encountered combinatory operator violations in a sequence ...
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Incremental Syntactic Language Models for Phrase based Translation
... and statistical machine transla- tion focus on the use of n-grams, which provide a simple finite-state model approximation of the tar- get ...Syntactic language models have also been explored with ...
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Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... of phrase pairs and the most likely translation provided by the ...these phrase pairs are included in the training data. The standard Moses phrase table only contains many single word-to-word ...
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An Improvement in Cross-Language Document Retrieval Based on Statistical Models
... In order to obtain a higher retrieval precision, our model has been improved from different points. First, we only use individual words, instead of phrases, as well as numbers as query, which can alleviate the scarcity ...
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Statistical Phrase Based Models for Interactive Computer Assisted Translation
... A desirable feature of the iterative machine translation system is the possibility of producing a list of target suffixes, instead of only one (Civera et al., 2004). This feature can be easily obtained by keeping the N ...
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Pivot Language Approach for Phrase Based Statistical Machine Translation
... for phrase-based ...alignment models by using two additional bilingual corpora to improve word alignment ...Pivot Language methods were also used for translation dictionary induction (Schafer ...
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Clinical Phrase Mining with Language Models
... of statistical machine learning methods, data-driven approaches which employ statistics extracted from a corpus to mine quality phrases, have gained popularity in the phrase mining ...topical phrase ...
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Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model
... no language specific as- sumptions, uses no dictionaries or explicit phonetic information; the process transforms sequences of tokens in the source language directly into to sequences of tokens in the ...
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Statistical Phrase Based Post Editing
... ing the log-linear model parameters used for decod- ing and rescoring. The rest is the train-1 set, used for estimating IBM translation models, constructing phrasetables and estimating a target language ...
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Syntactic Phrase Reordering for English to Arabic Statistical Machine Translation
... richer language, translating into Arabic poses unique issues that are not present in the opposite ...Morphological-Lexical Language Models to re- rank the output of an English-to-Arabic MT sys- ...
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Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
... (TM) based cross-lingual data selec- tion model for language model (LM) adapta- tion in statistical machine translation (SMT), from word models to phrase ...Furthermore, phrase ...
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Phrase Based Statistical Language Generation Using Graphical Models and Active Learning
... alisation phrase r is made dependent on under- specified stack configurations, ...the phrase ‘centre of town’ was associated with the con- cept centre in a different context, such as ...
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Statistical Phrase Based Translation
... a phrase-based system, tools and resources are freely available for re- searchers in the ...translation models [Ya- mada and Knight, 2001], proves to be ...the phrase translation table. We ...
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Bidirectional Phrase based Statistical Machine Translation
... standard phrase- based machine translation decoder that operates according to the same principles as the publicly available PHARAOH (Koehn, 2004) and MOSES (Koehn et ...5-gram language models ...
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... German-Czech language pair are built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech ...
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Fast and Scalable Decoding with Language Model Look Ahead for Phrase based Statistical Machine Translation
... in phrase-based statistical machine translation (SMT), aiming at increased effi- ciency of decoding by minimizing the number of language model computations and hypothe- sis ...that ...
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Adapting Translation Models to Translationese Improves SMT
... 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 unknown, and is ...
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Evaluation of Language Models over Croatian Newspaper Texts
... are based on the first or both first and second order derivative calculation for signal and digital fil- ...Markov Models (HMM), mathematical morphol- ogy operators, genetic algorithms, Hilbert, length and ...
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Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT
... But MT is not just an object of academic study. It’s a real application that isn’t fully perfected, and the best way to learn about it is to build an MT sys- tem. This can be done with open-source toolkits such as Moses ...
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Edinburgh’s Submission to all Tracks of the WMT 2009 Shared Task with Reordering and Speed Improvements to Moses
... Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C. J., Bo- jar, O., Constantin, A., and Herbst, E. (2007). Moses: Open source toolkit for ...
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