[PDF] Top 20 Domain Adaptation for Statistical Machine Translation with Monolingual Resources
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Domain Adaptation for Statistical Machine Translation with Monolingual Resources
... Results suggest that regardless of the used bilin- gual corpora the in-domain TMs and RMs work better alone than combined with the original mod- els. We think that this behavior can be explained by a limited ... See full document
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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 ... See full document
8
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 ... See full document
16
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... A pessimistic interpretation of the results would point out that performance gains compared to the best baseline system are modest or even inexistent in some settings. However, we want to stress two important points. ... See full document
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Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
... and domain-specific examples is due to Daum´e and Marcu (2006), who used a maximum-entropy model with latent variables to capture the degree of speci- ...and domain-specific ...downweight ... See full document
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NICT 2 Translation System for WAT2016: Applying Domain Adaptation to Phrase based Statistical Machine Translation
... For WAT2016, the Japan Patent Office (JPO) Corpus can be regarded as multi-domain data because it includes chemistry, electricity, machine, and physics patents with their domain ID, and thus it is ... See full document
7
Phrase Table Induction Using In Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation
... new translation options are proposed for known source ...lexical translation probabilities given by their baseline system’s translation ...external monolingual data to explore unseen target ... See full document
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Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... the translation models (weighted TM mode) leads to a significant im- provement of all scores in both language pairs (all at p ≤ ...out-of-domain translation models is a promising way for improving ... See full document
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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 ... See full document
9
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 ... See full document
7
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
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Integrating a Large, Monolingual Corpus as Translation Memory into Statistical Machine Translation
... for domain adaptation scenario. Figure 2 compares translation output between baseline and the +tgt-FMS-rr extension, showing that the system is able to correct syntactical er- rors, but also, that ... See full document
8
Adaptation of Reordering Models for Statistical Machine Translation
... on domain adaptation (DA) for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model ...(RM) adaptation for phrase- ... 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
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
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 ... See full document
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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 ... See full document
7
Domain Adaptation of Neural Machine Translation by Lexicon Induction
... using monolingual data to do data augmentation could be easily adapted to the do- main adaptation ...a statistical machine translation system, and continue training the sys- tem on the ... See full document
13
Domain Adaptation for Medical Text Translation using Web Resources
... adapting statistical machine translation (SMT) systems to medical domain using in-domain and general-domain data as well as web- crawled in-domain ...apply domain ... See full document
6
Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic
... a statistical ma- chine translation system for English to Di- alectal Arabic (DA), using Modern Stan- dard Arabic (MSA) as a ...for translation from MSA into DA: a two-step domain and dialect ... See full document
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