Machine Translation
A machine translation system combining rule based machine translation and statistical post editing
... System architecture, experimental set- tings and evaluation results of the EIWA in the WAT2014 Japanese to English (ja- en) and Chinese to Japanese (zh-ja) tasks are described. Our system is combining rule-based ...
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Translation by Understanding: A Machine Translation System LUTE
... Translation by Understanding A Machine Translation System LUTE Translation by Understanding A Machine Translation Sy,i;tem LUTE H i r o s a t o NOMURA, Shozo NAITO, Y a s u h i r o K A T A G I R I , a[.] ...
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Machine Translation Again?
... Machine Translation Again? Machine Translation Again? Yorick Wilks, Jaime Carbonen, David Farwell, Eduard Hovy and Sergei Nirenburg Department of Computer Science New Mexico State University Las Cruce[.] ...
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A Sense Based Translation Model for Statistical Machine Translation
... • Word senses automatically induced by the HDP-based WSI on large-scale training data are very useful for machine translation. To the best of our knowledge, this is the first at- tempt to empirically verify ...
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Machine Translationness: Machine-likeness in Machine Translation Evaluation
... make machine translations distinguishable from human ...the translation is machine-like instead of determining its human-likeness as in evaluation current ...a translation with a metric, the ...
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Evaluating Intelligibility in Human Translation and Machine Translation
... automated translation mostly aims to develop translation systems to further enhance the transfer of knowledge and ...brought machine translation (MT) to show major steps in translation ...
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Statistical machine translation based on translation rules
... statistical machine translation system by integrating the advantages of string-tree model and hierarchical phrase ...of translation rules and the property of translation ...the ...
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Adaptive Language and Translation Models for Interactive Machine Translation
... interactive machine translation (IMT) system (Foster et ...a translation model (TM) and a language model (LM) used jointly to produce pro- posals that are appropriate translations of source words and ...
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Combining Translation Memory with Neural Machine Translation
... a translation memory to translate known sentences and phrase, while still allowing a more flexible Machine Translation (MT) model to translate less- familiar phrases and sentences without sacrific- ...
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Interactive Machine Translation using Hierarchical Translation Models
... automatic machine translation sys- tems are not able to generate error-free trans- lations and human intervention is often re- quired to correct their ...the translation pro- cess has been presented ...
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Generalizing Back Translation in Neural Machine Translation
... Back-translation — data augmentation by translating target monolingual data — is a crucial component in modern neural machine translation (NMT). In this work, we refor- mulate back-translation ...
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Evaluation of Machine Translation
... EVALUATION OF MACHINE TRANSLATION E V A L U A T I O N O F M A C H I N E T R A N S L A T I O N John S White, Theresa A O'Connell P R C Inc M c L e a n , V A 2 2 1 0 2 a n d Lynn M Carlson D o D A B S T[.] ...
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Comparing Machine Translation and Human Translation: A Case Study
... in translation quality assessment (TQA), how- ever, and large-scale projects on MT tend to have some participation of TS ...volume Machine Translation and Translation Theory, (Hauenschild and ...
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Graph Based Translation Memory for Neural Machine Translation
... neural machine translation has been witnessed increasing ...the translation rules as SMT, many works resort to different ...a translation memory to fine tune the NMT model which is pre-trained ...
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The UA Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation
... shared translation task of the 2014 Workshop on Statistical Machine Trans- ...tistical machine translation system whose phrase table is enriched with information obtained from dictionaries and ...
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Stream based Translation Models for Statistical Machine Translation
... Typical statistical machine translation sys- tems are trained with static parallel corpora. Here we account for scenarios with a continu- ous incoming stream of parallel training data. Such scenarios ...
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Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... This year we excluded Google translations from the systems used in system combina- tion. In last year’s evaluation, the large mar- gin between Google and many of the other systems meant that it was hard to improve on ...
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Incorporating Discrete Translation Lexicons into Neural Machine Translation
... continuous-valued numbers. This is in contrast to more traditional SMT methods such as phrase-based machine translation (PBMT; Koehn et al. (2003)), which represent translations as discrete pairs of word ...
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Neural pre-translation for hybrid machine translation
... Hybrid machine translation (HMT) takes advantage of different types of machine translation (MT) systems to improve translation ...Neural machine translation (NMT) can ...
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Modeling Term Translation for Document informed Machine Translation
... Term translation is of great importance for statistical machine translation (SMT), es- pecially document-informed ...term translation in the context of document- informed SMT and propose three ...
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