[PDF] Top 20 Adaptive Language and Translation Models for Interactive Machine Translation
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Adaptive Language and Translation Models for Interactive Machine Translation
... the interactive nature of our assisted- translation application can really benefit from dy- namic adaptation, we tested our models in a more realistic translation ...target translation ... See full document
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Improving On line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation
... In interactive machine translation (IMT), a hu- man expert is integrated into the core of a ma- chine translation (MT) ...the language models proposed are context aware, in the ... See full document
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Interactive Machine Translation using Hierarchical Translation Models
... any interactive environment, performing a full search each time the user validates a new prefix is ...the translation must be carried out only once, and the generated represen- tation can be reused for ... See full document
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To Cache or Not To Cache? Experiments with Adaptive Models in Statistical Machine Translation
... of adaptive language and translation models in a standard phrase-based SMT setting for the adaptation to wider context beyond sen- tence ...boundaries. Adaptive language ... See full document
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Interactive Attention for Neural Machine Translation
... attention models (Luong et ...attention models to improve translation ...alignment models, which achieved improvements across several language ...fertility models to attention- ... See full document
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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
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Bilingual Structured Language Models for Statistical Machine Translation
... structured language models In this section, we combine the direct correspon- dence assumption (Section 2) and SLMs (Sec- tion 3), and define bilingual structured language models (BiSLMs) for ... See full document
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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
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Deep Syntax Language Models and Statistical Machine Translation
... Hierarchical Models increase the re- ordering capabilities of MT systems by introducing non-terminal symbols to phrases that map source language (SL) words/phrases to the correct position in the target ... 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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Semi Supervised Neural Machine Translation with Language Models
... the translation model with predictions of the language ...supervised machine translation, organized by iPavlov Lab 2 ...our models into Docker 3 containers and send it to the submission ... See full document
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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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Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... Table 1 shows the percent BLEU scores on the test data. The figures in the “1st pass” column show the BLEU scores in the first pass decoding when we changed the language model. The figures in the “reranking” ... See full document
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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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From Extractive to Abstractive Summarization: A Journey
... Statistical Machine Translation (SMT) problem of translating text written in a Docu- ment Language to that in a Summary ...Language. Machine translation techniques have well ... 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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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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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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Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... obvious. Language models play a crucial role in fluency ranking and a better fit to real data (supporting the tendency of repetition) should be ...rect translation decisions in the history in our SMT ... See full document
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... 4.1 Unsupervised Cross-lingual Embeddings Cross-lingual word embeddings can provide a good initialization for both the NMT and SMT models. In the unsupervised senario, Artetxe et al. (2017) independently trained ... See full document
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