[PDF] Top 20 Translation Model Adaptation by Resampling
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Translation Model Adaptation by Resampling
... texts are in general easily available in many do- mains, the freely available parallel texts mainly come from international organisations, like the European Union or the United Nations. These texts, written in particular ... See full document
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Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... machine translation for post-editing as an online learning task, we have presented three methods for incremental model adaptation: adding data to the indexed bitext from which gram- mars are ... See full document
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Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... language model adaptation techniques for Statistical Machine ...machine translation output are converted into queries at different levels of representation power and used to extract similar sentences ... See full document
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Adaptive Language and Translation Models for Interactive Machine Translation
... language model adaptation confirmed what had been reported in the literature: adding a cache component to a lan- guage model leads to a drop in ...language model inside a translation ... See full document
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Translation Model Adaptation Using Genre Revealing Text Features
... 3 Translation model genre adaptation For the task of genre adaptation to the genres newswire (NW) and UG comments or weblogs, we use a flexible translation model ... See full document
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Language Model Adaptation with Additional Text Generated by Machine Translation
... ????????? ? ??? ? ??? ??????? ? ? ??? ??????????????? ???????!??????? ? ?#"$??%&? ' ?(????)*?????(??+?, ? ? /???!???0"1)2? ??3???? ???????54 687 9?;?@?BA8CED8CEF/GIHJC KML&LONQPSR/TVUXW2Y2Z\[VT^][.] ... See full document
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Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation
... conversations typically revolve around a set of central topics, which may not be evident at the beginning of the interaction. As the conversation progresses, however, the gradual accumulation of contextual information ... See full document
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Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation
... language model weight, ...of translation output according to a given language model, adapt the LM weight based on the ratio of the cross-entropy and obtain the final results through a second-pass ... See full document
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Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
... generative model for transferring S into Q, our goal is to calculate the ranking score function over existing Q and ...this model can not be used directly for sen- tence ranking because Q and S are often of ... See full document
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Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... domain-specific translation memories for training machine translation systems, we have shown that very limited amounts of in-domain data can be successfully complemented with general-domain parallel corpora ... See full document
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Regularization techniques for fine tuning in neural machine translation
... domain adaptation for neural ma- chine translation where an existing model trained on a large out-of-domain dataset is adapted to a small in-domain ...chine translation, obtaining improvements ... See full document
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Domain Adaptation and Attention Based Unknown Word Replacement in Chinese to Japanese Neural Machine Translation
... domain adaptation method to disambiguate the meaning of a word according to its ...domain adaptation method, but by adding large monolingual data to make the language modeling more ... See full document
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Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations
... domain adaptation: (1) feature represen- tation learning: mapping the source domain and target domain to a shared latent feature space; (2) resampling: modifying the relation distribution in the explicit ... See full document
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Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
... Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation Michael Denkowski, Chris Dyer and Alon Lavie.. Predicting and Characterising User Impact on Twitte[r] ... See full document
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Vector Space Model for Adaptation in Statistical Machine Translation
... VSM adaptation can be defined in various ...VSM adaptation tested here bears a super- ficial resemblance to domain adaptation based on mixture models for TMs, as in (Foster and Kuhn, 2007), in that ... See full document
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Topic Models for Dynamic Translation Model Adaptation
... tion model (TM) toward particular domains of inter- est (Axelrod et ...the model probability estimates and subsequently learn the model ...word translation table for each feature, estimated ... See full document
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Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... about translation model adaptation focused on parallel data ...in-domain translation dictionary and monolingual corpora to adapt an out-of-domain translation model for the in- ... See full document
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Monolingual Marginal Matching for Translation Model Adaptation
... For each domain, we use the marginal matching method described in Section 3 to learn a new, domain-adapted joint distribution, p new k (s, t), over all French and English words. We use the learned joint to compute ... See full document
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Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... in translation mod- els express the probability of a target phrase given a source phrase (or vice versa), which connects the perplexity to the ambiguity ...the model is to successfully resolve the ambigu- ... See full document
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Translation Model Interpolation for Domain Adaptation in TectoMT
... The results of our experiments on QTLeap corpus Batch2 are summarized in Table 2 (Batch2q for trans- lations into English, Batch2a for translations from English). They show that for all translation directions, ... See full document
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