Domain Adaptation in Statistical Machine Translation
Domain Adaptation for Statistical Machine Translation with Monolingual Resources
... Domain adaptation has recently gained interest in statistical machine translation to cope with the performance drop ob- served when testing conditions deviate from training ...data. ...
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Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora
... Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual ...form domain adaptation for statistical machine ...
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Phrase Table Induction Using In Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation
... correct translation for the source word is available, but the features associated to this trans- lation were not informative enough for the decoder to choose ...right translation for a given source ...
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Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation
... high translation quality of the data is not as essential as for parameter tuning and ...the translation tables based on their low translation ...and domain, we per- formed the following ...
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Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
... In this paper we have proposed an approach for instance-weighting phrase pairs in an out-of-domain corpus in order to improve in-domain performance. Each out-of-domain phrase pair is characterized by ...
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Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... multiple translation mod- els as alternative decoding paths (Birch et ...final translation. In practice, each translation model adds 5 features and thus 5 more dimensions to the weight space, which ...
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NICT 2 Translation System for WAT2016: Applying Domain Adaptation to Phrase based Statistical Machine Translation
... the translation quality. Although we added the ASPEC corpus as a fifth domain, the effects were not ...Our domain adaptation can incorporate external knowledge, such as Google n-gram language ...
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Improving Persian English Statistical Machine Translation:Experiments in Domain Adaptation
... This paper documents recent work carried out for PeEn-SMT, our Statistical Machine Translation system for translation between the English-Persian language pair. We give details of our previous ...
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Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... of translation memory software, translation companies and freelance translators have been accumulating translated text for various languages and ...training domain-specific machine ...
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Vector Space Model for Adaptation in Statistical Machine Translation
... to domain adaptation in statistical machine translation (SMT) based on a vector space model ...model adaptation. An informal analysis suggests that VSM adaptation may help ...
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Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation
... the domain of medical texts ...specific domain tuning by analysing the results in detail. In a nutshell: domain tuning for matching-domain training, tuning and test data results in feature ...
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Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... with translation model adap- tation by making use of the topical context, so let us take a look at the recent research developmen- t on the application of topic models in ...bilingual translation model, ...
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Sentence Embedding for Neural Machine Translation Domain Adaptation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ...
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Neural Lattice Search for Domain Adaptation in Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ...
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Domain Adaptation for Machine Translation by Mining Unseen Words
... train statistical machine translation ...of domain divergence (Jiang, 2008; Blitzer and Daum´e III, 2010): the out-of-vocabulary prob- ...which domain di- vergence causes increases in ...
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A Multi Domain Translation Model Framework for Statistical Machine Translation
... While domain adaptation techniques for SMT have proven to be effective at im- proving translation quality, their practical- ity for a multi-domain environment is of- ten limited because of the ...
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Cost Weighting for Neural Machine Translation Domain Adaptation
... new domain adaptation technique for neural machine translation called cost weighting, which is appropriate for adaptation scenarios in which a small in-domain data set and a ...
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Adaptation of Reordering Models for Statistical Machine Translation
... the domain in which the system will operate using a mixture model ...approach. Domain adaptation of translation mod- els (TMs) and language models (LMs) has become common for SMT systems, but ...
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Continuous Adaptation to User Feedback for Statistical Machine Translation
... use machine transla- tion (MT) technology as a tool to increase their pro- ...computer-assisted translation (CAT) tool. The MT system suggests an automatic translation of the in- put sentence which ...
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Phrase Training Based Adaptation for Statistical Machine Translation
... of domain-adaptation attempts to exploit data mainly drawn from one domain ...on translation model (TM) ...a translation quality ...
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