[PDF] Top 20 Large Language Models in Machine Translation
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Large Language Models in Machine Translation
... tributed language model for an average sentence of 22 ...in translation qual- ity is allowed, then the average network latency per batch can be brought down to 7 milliseconds by re- ducing the number of ... See full document
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Large and Diverse Language Models for Statistical Machine Translation
... statistical machine trans- lation (SMT) systems have been improved by the use of large language models ...accommodate large LMs integrated into the decoder, using them in re-ranking is ... See full document
6
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 (Tsarfaty ... See full document
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Wider Context by Using Bilingual Language Models in Machine Translation
... the translation model is trained by using an n-gram lan- guage model of pairs of source and target words, called ...the translation model can also be combined with ad- ditional models like, for ... See full document
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A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation
... statistical machine translation ...IBM Models 3 through 5 (Brown ...These models are not effective in modeling reorderings because they don’t have enough context and lack structural ... See full document
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Panlingua KMI MT System for Similar Language Translation Task at WMT 2019
... Neural Machine Translation (NMT) open source toolkits such as OpenNMT (Klein et ...different models perform in comparison to each ...the language pairs were ... See full document
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Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... English translation baseline system (Goto et ...various language models to compare ...The translation performance was measured by the case-insensitive BLEU scores on the tokenized test ... See full document
6
Discriminative Language Models as a Tool for Machine Translation Error Analysis
... particular language pair or ...are language- or task-specific, and not covered by pre- vious methods in Figure ...the machine translation system (such as ensuring that Wikipedia titles are not ... See full document
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Semi Supervised Neural Machine Translation with Language Models
... We start from evaluating four main models on En–Fr-20k and En-Ru-20k datasets. The training progress for En–Fr pair is shown on Fig. 2. The final results for both pairs on a test set are listed in table 2. We can ... See full document
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Bilingual Structured Language Models for Statistical Machine Translation
... syntactic language model, structured LM (SLM) (Chelba and Jelinek, 2000), that we extend to a bilingual setting and apply to SMT in Sec- tion ...that models sentence genera- tion ...use models whose ... See full document
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Decoding with Large Scale Neural Language Models Improves Translation
... The problem of training with large vocabularies in NPLMs has received much attention. One strategy has been to restructure the network to be more hi- erarchical (Morin and Bengio, 2005; Mnih and Hin- ton, 2009) or ... See full document
6
Low Resource Corpus Filtering Using Multilingual Sentence Embeddings
... uses language model and word trans- lation scores, with weights optimized to separate clean and synthetic noise ...Zipporah models for both language pairs Sinhala–English and ...(probabilistic ... See full document
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A Large-scale Study of Statistical Machine Translation Methods for Khmer Language
... languages such as Myanmar it has been shown (Thu et al., 2013) that syllable segmentation can give rise to machine translation scores that are competitive with other approaches. How- ever, for Khmer the ... See full document
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Language Models for Machine Translation: Original vs Translated Texts
... source language of translated texts, and the reported results are ex- ...that translation from different source languages con- stitute different ...source language outperform LMs compiled from ... See full document
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Language Models for Machine Translation: Original vs Translated Texts
... each language L, the perplexity of the language model that was created from L translations is lowest, fol- lowed immediately by the MIX ...Dutch-to-English translation task, where the perplexity of ... See full document
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Statistical Machine Translation with Local Language Models
... Part-of-speech language modeling is com- monly used as a component in statistical ma- chine translation systems, but there is mixed evidence that its usage leads to significant im- ...local language ... See full document
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Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
... In parallel to the development efforts for fast general purpose CPUs, dedicated hardware has been devel- oped in order to satisfy the computational needs of realistic 3D graphics in high resolutions, so called graphical ... 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
Deep Neural Language Models for Machine Translation
... While self-normalization does not lead to speed up in training, it allows trained models to be applied efficiently at test time without computing the nor- malization factors. This is similar in flavor to NCE but ... See full document
5
Deep Syntax Language Models and Statistical Machine Translation
... string-based language model provides as good if not better context than the deep syntax model, but only for the few words that happen to be preceded by words that are important to its lexical choice, and this ... See full document
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