[PDF] Top 20 Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation
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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 ... See full document
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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 ...training ... See full document
8
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 ... See full document
8
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 ... See full document
9
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... is using 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 ... See full document
11
NICT 2 Translation System for WAT2016: Applying Domain Adaptation to Phrase based Statistical 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 ... See full document
7
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 ... See full document
16
Phrase Table Induction Using In Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation
... right translation is in the target phrase set, it is not guaranteed that it will be registered in the in- duced phrase table as one of the 300 best translations for the source phrase, relying only on word embed- ... See full document
14
Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... the translation model is not worth the additional ...reference translation (FR/IT) and two translation hypotheses for 150 randomly selected ...to domain technology, with ties ...quantified ... See full document
11
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 ... See full document
9
Unsupervised Adaptation for Statistical Machine Translation
... and translation models domain- adaptation without explicit bilingual in- domain training ...the domain can be induced from the source-language test ...unsupervised adaptation, ... See full document
9
Phrase Training Based Adaptation for Statistical Machine Translation
... of domain-adaptation attempts to exploit data mainly drawn from one domain ...test domain (e.g. lectures, web fo- ...on translation model (TM) ...combined using ... See full document
6
Domain Adaptation for Machine Translation by Mining Unseen Words
... of data are currently available to train statistical machine translation ...training data are often qualita- tively different from the target task of the transla- tion ...of ... See full document
6
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, ... See full document
10
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 ... See full document
7
Vector Space Model for Adaptation in Statistical Machine Translation
... to domain adaptation in statistical machine translation (SMT) based on a vector space model ...ing data, we create a vector with features defined in the same way, and calculate ... See full document
9
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 ... See full document
9
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 ... See full document
6
Curriculum Learning for Domain Adaptation in Neural Machine Translation
... For data-centric domain adaptation methods, our curriculum learning approach has connections to instance ...In statistical machine translation, Matsoukas et ... See full document
13
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 ... See full document
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