[PDF] Top 20 Machine Translation Quality Estimation Across Domains

... Domain adaptation is a kind of transfer learning in which source and target domains (i.e. training and test) are different but the tasks are the same (Pan and Yang, 2010). The domain adaptation techniques that ... See full document

... the quality of English-French ...of machine translated sentences does not affect the performance of quality estimation nor does the intrinsic accuracy of the parser ... See full document

... Task 2 is the word-level quality estimation of automatically translated news sentences from English to Spanish without given reference trans- lations. Participants are required to judge each translated word ... See full document

... statistical machine translation (SMT) system, the expected use case is often limited to a specific domain, genre and register (henceforth “domain” refers to this set, in keeping with standard, imprecise, ... See full document

... Continuous Space Language Models (CSLM), on the other hand, have shown their potential to capture long distance dependencies among words (Schwenk, 2012; Mikolov et al., 2013). The assumption of these models is that ... See full document

... of machine translated text, Carter and Inkpen (2012) translated the Hansards of the 36th Parliament of Canada us- ing the Microsoft Bing MT web service, and conducted three detection experiments at docu- ment ... See full document

... the translation quality is a challenging topic of research in the field of ...level quality estimation problem on English-Hindi language ...the translation quality ... See full document

... For the word-level QE task, we extracted addi- tional features based on accuracy and fluency of translations, for labeling words for quality as a ML classification problem. The results showed that the additional ... See full document

... One of the purposes of system comparison is to identify the best-performing system. Therefore, we expect a good metric to be able to distinguish between systems as well as possible. One of the quality criteria for ... See full document

... Another remarkable observation was the incapa- bility of the RMSE to objectively show the qual- ity of the model, in situations where the predicted values are very close or equal to the average of all real values. A ... See full document

... the machine translation quality estimation (MTQE) shared task in WMT 2015, where we participated in the word- level MTQE ...a machine translation ...both translation ... See full document

... the quality of machine translation at the sentence- ...text domains, with translations produced by various machine translation systems and scored for quality according to ... See full document

... The quality of machine translation systems have been significantly improved over the past few years (Chatterjee et ...neural machine translation (NMT) models (Sutskever et ...some ... See full document

... on quality estimation (QE) and automatic post-editing (APE) of machine translation (MT) outputs, especially for those among Asian languages, we have created new datasets for Japanese to ... See full document

... the quality assessments of one human assessor more than those of another, highlights the likelihood that agreement between human annotators was low, although no precise agreement levels are ... See full document

... The addition of new “bad” sentences leads to an improvement in quality, regardless of the sen- tence generation method used. Models trained on datasets generated by different strategies display the same trend: ... See full document

... on quality es- timation (QE) for machine translation (MT) (Blatz et ...the quality of a translation without access to a ref- erence ...the quality scores being estimated (binary, ... See full document

... automatic machine translation evalu- ation metrics to provide labels for qual- ity estimation at document and paragraph ...in translation qual- ity that can only be observed when sen- tences ... See full document

... overall quality of the output produced by an MT system, without any intervention on the actual MT ...of machine-translated text (QE as activator, see Section ...the machine-translated text (QE as ... See full document

... 2012 quality estimation (QE) shared task. Given a machine translation (MT) system and a corpus of its translations which have been rated by humans, the task is to build a predic- tor that can ... See full document