[PDF] Top 20 Improving Persian English Statistical Machine Translation:Experiments in Domain Adaptation
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Improving Persian English Statistical Machine Translation:Experiments in Domain Adaptation
... pus affected the result. In all cases, the test set con- sisted of a news article covering a variety of dif- ferent domains showing various grammatical as- pects of each language. In order to construct a lan- guage ... See full document
7
NUS at WMT09: Domain Adaptation Experiments for English Spanish Machine Translation of News Commentary Text
... for English to Spanish machine trans- lation of News Commentary text for the WMT09 Shared Translation ...on domain adaptation, combining a small in-domain News Com- mentary ... See full document
5
Experiments on Domain Adaptation for English–Hindi SMT
... Abstract. Statistical Machine Translation (SMT) systems are usually trained on large amounts of bilingual text and monolingual target language ...of translation can ...in- domain data ... See full document
8
Improving Domain Adaptation Translation with Domain Invariant and Specific Information
... in-domain translation performance, the domain invariant features extracted from the training data are also beneficial to the out-of- domain translation ...News domain as our ... See full document
11
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 ... See full document
11
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
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation
... similar experiments on 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 ... See full document
16
Domain Differential Adaptation for Neural Machine Translation
... We conduct experiments on the law and med- ical datasets in OPUS, and experimental results are shown in Table 2. We find that generally fus- ing hidden states is better than fusing word em- beddings, and fusing ... See full document
11
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
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... the experiments with an adapted language model than for those with an out-of-domain one, which confirms that the benefit of language model adap- tation and translation model adaptation are not ... See full document
11
Improving Domain Adaptation for Machine Translation withTranslation Pieces
... In future work, we want to assess the quality of the used translation memories and compare the method in a scenario where we use only subdo- mains with available quality data. In this setting, the expected ... See full document
9
NICT 2 Translation System for WAT2016: Applying Domain Adaptation to Phrase based Statistical Machine Translation
... corpus experiments, we did not use external knowledge and compared translations of the single- domain model, corpus concatenation, and domain ...electricity, machine, and ...the domain ... See full document
7
Cost Weighting for Neural Machine Translation Domain Adaptation
... SMT domain adaptation techniques, data selec- tion and corpus weighting, to neural machine translation ...neural machine trans- lation domain ...sequence-to-sequence ... See full document
7
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... initial experiments) nor the incorporation of any other in-domain ...new domain and similar gains should be ...the translation costs assigned by the ... See full document
8
Improving Arabic Chinese Statistical Machine Translation using English as Pivot Language
... for translation from these languages into ...make English potentially more central to our experiments than if the data collection and pre- processing were done on Arabic and Chinese independent of ... See full document
9
Improving Phrase based Statistical Myanmar to English Machine Translation with Morphological Analysis
... morphological analysis of Myanmar Language. By adding these three features the system can achieve a better result than can be obtained with each individually. The system improved the translation quality with 0.031 ... See full document
7
Improved Language Modeling for English Persian Statistical Machine Translation
... of English/Persian MT systems that has been done to date, and showed a set of experiments in which our SMT system was applied to the Persian language using a relatively small ...from ... See full document
8
Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language
... tiple translation tables for doing the combination ...the translation options are gath- ered from one table, and additional options are col- lected from other ...separate translation options for each ... See full document
7
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. ... See full document
8
A Multi Domain Translation Model Framework for Statistical Machine Translation
... for translation models, since the number of hy- potheses that need to be evaluated by the language model is several orders of magnitudes higher than the number of phrase pairs used during the trans- ...the ... See full document
9
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