[PDF] Top 20 Syntax and Semantics in Quality Estimation of Machine Translation

... text, machine translated and both post-edited and manually evaluated for ad- equacy and ...the translation adequacy based on predicate-argument structure match between source and ...and translation ... See full document

... ill-formed machine translations which may result in noisier parse trees which are harder to learn ...opposite translation direction ...to translation direction but rather to the ... See full document

... The prototype model system for EnglishJapanese translation Figure I is constructed as a syntax directed processor using a phrase structure type internal representation called HPM Heurist[r] ... See full document

... on Syntax, Semantics and Structure in Statistical Translation (SSST-6) was held on 12 July 2012 following the ACL 2012 conference in Jeju, ...statistical machine translation’s movement toward ... See full document

... statistical machine translation research has seen a movement toward not only tree-structured and syntactic models incorporating stochastic synchronous/transduction grammars, but also increasingly semantic ... See full document

... of language, spoken and written; • computational lexicography and lexicology; • syntax and semantics; • machine translation and translation aids; • natural language interfaces, knowledge[r] ... See full document

... bestimmte Syntax und Sprache ausgerichted sind indem wir mit zwei verschiedenen Repräsentationen experimentieren: mit einer englischausgerichteten syntaxartigen Struktur und mit einer sprachneutralen ... See full document

... on machine learning techniques to capture the phenomenon and generally finds it difficult to capture edge cases; instead the focus is on capturing the common cases (fat head ) of the ...of syntax, ... See full document

... multiple machine learning models, the recommended approach is to use a non-parametric multiple hypothesis test followed by a post-hoc analysis that compares each pair of hypothesis (Demˇsar, ...to machine ... See full document

... Quality estimation task in WMT18 (Specia et al., 2018) (QET18) address machine translation per- formance prediction (MTPP), where translation quality is predicted without using ... See full document

... of translation because of the large number of rules, especially when syntax labels are projected from a parser in syntax-augmented machine ...a syntax-label clus- tering method that ... 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

... of quality estimation sys- tems and highlighted potential flaws in existing methods, with respect to the ability to boost scores by prediction of aggregate statistics specific to the particular test set in ... See full document

... the Quality Estimation (QE) shared task at WMT ...Vector Machine re- gression, using a number of explicitly defined features extracted from the Machine Transla- tion input, output and models ... See full document

... The dataset for task 1 spans a total of 15,000 English-German translations from the IT domain. Each entry consists of a source segment, its ma- chine translation, a post-edition of the translation and an ... See full document

... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 207.. Symbiotic Human and Machine Translation.[r] ... See full document

... Asymmetric loss functions are common in the econometrics literature and were studied by Zell- ner (1986) and Koenker (2005), among others. Be- sides the AL and the linex, another well studied loss is the asymmetric ... See full document

... the translation industry towards human MT post-editing will not only push for fur- ther research on these problems, but also provide data for larger scale evaluations in a short ... See full document

... For the QG model, the initial parameters are determined as follows: For the monolin- gual target parsing model parameters, we first parse the target side of the corpus (i.e., the revised sentences) with the Stanford ... See full document

... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality ... See full document