[PDF] Top 20 Statistical Machine Translation with Local Language Models
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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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Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... unsupervised language model adaptation techniques for Statistical Machine ...the machine translation output are converted into queries at different levels of representation power and ... See full document
7
Distortion Models for Statistical Machine Translation
... Existing statistical machine translation decoders have mostly relied on language models to select the proper word order among many possible choices when translating between two ...a ... See full document
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Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
... In an 1000-best list for 586 sentences, we have a total of 14M requests for 7-grams out of which more than 13.5M were processed by the CSLM, e.g. the short list hit rate is almost 95%. This resulted in only 2670 forward ... See full document
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Mixing Multiple Translation Models in Statistical Machine Translation
... the models accuracies are high and close to each other with some degree of ...component models and this perfectly works for settings such as the one in (Petrov, 2010) where a number of parsers are trained ... See full document
10
Example based Machine Translation Based on Syntactic Transfer with Statistical Models
... and translation) are obtained from child ...the translation probabil- ity is calculated, the source word sub-sequence is obtained by tracing transfer mapping, and the ap- plied translation model is ... See full document
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Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... 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
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Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
... by local distortion. On the other hand, language pairs with many clause-level order differences ...new translation task is often driven by costly empirical trials rather than by linguistic ...these ... See full document
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Stream based Translation Models for Statistical Machine Translation
... 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 ... See full document
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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 ... See full document
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Statistical models for text normalization and machine translation
... We began by evaluating the coverage of the source language lexicon. For this, we gathered a monolin- gual Scottish Gaelic corpus comprised of 3.9M tokens from 14713 web-crawled texts (Scannell, 2007). The system ... See full document
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Adaptive Language and Translation Models for Interactive Machine Translation
... cache-based translation model seem to be similar to the balance between precision and recall in information ...in translation relation in the ...in translation rela- tion in the ... See full document
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Randomised Language Modelling for Statistical Machine Translation
... for language modelling in SMT. The space- efficiency of these models also allows us to inves- tigate the impact of using much larger corpora and higher-order n-grams on translation ...filter ... See full document
8
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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Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... GEC models. The performance of four recent models, namely three neural machine translation (NMT)- based models (LSTM, CNN, and transformer) and a statistical machine ... See full document
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ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... Moses statistical machine translation (SMT) sys- tems for all language pairs in the workshop on statistical machine translation (Bojar et ...(WMT15) translation ... See full document
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Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation
... In statistical machine translation (SMT) reorder- ing (also called distortion) refers to the order in which source words are translated to generate the translation in the target ...English ... See full document
12
Deep Syntax Language Models and Statistical Machine Translation
... two models are and highlights the potential of the deep syntax language model to aid lexical choice in SMT ...syntax language model could therefore improve lexical choice for such words, since they ... See full document
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Large and Diverse Language Models for Statistical Machine Translation
... See Figure 2 for an illustration that highlights what ratio of the LM is needed to translate a sin- gle sentence. The ratio increases roughly linear with sentence length. For a typical 30-word sen- tence, about 4% of the ... 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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