[PDF] Top 20 Language Models for Machine Translation: Original vs Translated Texts
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Language Models for Machine Translation: Original vs Translated Texts
... English-original language model and translations produced with a LM created from French-translated-to-English texts, we conducted a human evaluation campaign, using Amazon’s Mechanical Turk as ... See full document
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Large Language Models in Machine Translation
... tical machine translation system, and hints that the third may yet be some time in ...distributed language model training and deployment infrastructure, which allows direct and efficient integration ... See full document
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Statistical Machine Translation with Local Language Models
... POS language models depends among other things on the size of the parallel cor- pus, the size and order of the word language model, and whether lexicalized distortion models are ...guage ... See full document
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Deep Neural Language Models for Machine Translation
... Neural language models (NLMs) have been able to improve machine translation (MT) thanks to their ability to generalize well to long ...deep models yield an average boost of ... See full document
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Semi Supervised Neural Machine Translation with Language Models
... neural machine translation models is notoriously slow and requires abundant paral- lel corpora and computational ...trained language models to translation systems, also we ... See full document
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Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... Language models are important in natural language processing tasks such as speech recognition and statistical machine ...n-gram language models (BNLMs) (Chen and Goodman, 1996; ... See full document
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Language Models for Machine Translation: Original vs Translated Texts
... the translated- from-source systems outperform all other sys- tems; mixture models come second; and systems that use original English LMs always perform ... See full document
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Bilingual Structured Language Models for Statistical Machine Translation
... structured language models to phrase-based ...our models indeed mainly improve reordering ...other language pairs with different reordering ... See full document
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Large and Diverse Language Models for Statistical Machine Translation
... To assess the utility of re-ranking with large LMs, we carried out a number of experiments, summa- rized in Table 4. We used the English side of the par- allel training corpus and the Gigaword corpus dis- tributed by the ... See full document
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Deep Syntax Language Models and Statistical Machine Translation
... the language model to ensure, that when two phrases are combined with each other, that the model can rank combined phrases that are flu- ent higher than less fluent ...traditional language model in Figure 2 ... See full document
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Continuous Space Language Models for Statistical Machine Translation
... get language. In most SMT systems the use of a 4-gram back-off language model usually achieves improvements in the BLEU score in comparison to the 3-gram LM used during ... See full document
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Multiple stream Language Models for Statistical Machine Translation
... An unbounded text stream is an input source of natu- ral language documents that is received sequentially and so has an implicit timeline attached. In Leven- berg and Osborne (2009) a text stream was used to ... See full document
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Adaptive Language and Translation Models for Interactive Machine Translation
... interactive machine translation (IMT) system (Foster et ...a translation model (TM) and a language model (LM) used jointly to produce pro- posals that are appropriate translations of source ... See full document
8
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
... 5-gram language models, using interpolated modified Kneser-Ney discounting (Chen 1998) and no cut-off on all ...each translation task we ran- domly extract 1,000 parallel sentences for the tuning set ... See full document
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The Trouble with Machine Translation Coherence
... of machine translation ...are machine translated into a target language and the task is to distinguish them from their human translated ...coherence models, and propose a ... See full document
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A Corpus-based Study of Human-translated vs. Machine-translated Texts: The Case of Ellipsis in English-Persian Translation
... Corpus-based Translation Studies (CTS) set out to trail the research agenda put forward in Baker’s seminal article in 1993 and investigated, on a scale that had not been possible before, those recurrent features ... See full document
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Problem Analysis of Machine Translation for Scientific Texts of Petroleum
... scientific texts of petroleum is an important branch of the texts of the science and technology, and has the basic characteristics of scientific texts ...scientific texts, “channel” means ... See full document
6
Translation Norms and the Importation of the Novel into Persian
... that translated novels’ fictional discourse was ...through translation theory, however, there is an incompatibility between the means and the ends of their efforts: the very same class of society that was ... See full document
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Panlingua KMI MT System for Similar Language Translation Task at WMT 2019
... The larger picture, based on these experiments, reveal that similarities between two languages did not yield any advantage, as expected at the ini- tial stage. Thus it could be concluded that simi- lar features shared ... See full document
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Translation Errors and Incomprehensibility: a Case Study using Machine Translated Second Language Proficiency Tests
... Figure 5 shows a question, in which the correct choice (shown in the square brackets [...]) includes the modal verb ‘should’ that has both deontic (“need to”) and epistemic (“certainly”) readings. NICT correctly chose ... See full document
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