Quality Estimation Software Extensions
作者： Lucia Specia
DOI:
关键词: Machine translation 、 Information retrieval 、 Deliverable 、 User interface 、 Data mining 、 Software 、 Documentation 、 Variety (cybernetics) 、 Language model 、 Quality (business) 、 Computer science
摘要: We present an extended version of our open source framework for machine translation quality estimation, QUEST. The allows the extraction a large variety language- and system-dependent indicators from segments, their translations, external resources (i.e. target corpora, language models). It also provides learning algorithms to build estimation models. This new adds it more advanced, language-specific, system-related indicators. improvements over latest with respect efficiency user-friendliness. deliverable describes architecture framework, list additional features, documentation on how further extend add use models given dataset. Finally, presents web interface remote access facilitate by non-expert users.
qt21.eu 参考文章(14)
Eleftherios Avramidis, Quality estimation for Machine Translation output using linguistic analysis and decoding features workshop on statistical machine translation. pp. 84- 90 ,(2012)
Lucia Specia, Raphael Rubino, Jennifer Foster, Jose de Souza, Topic models for translation quality estimation for gisting purposes ,(2013)
Ergun Biçici, Declan Groves, Josef van Genabith, Predicting sentence translation quality using extrinsic and language independent features Machine Translation. ,vol. 27, pp. 171- 192 ,(2013) , 10.1007/S10590-013-9138-4
Lucia Specia, Chris Callison-Burch, Christof Monz, Matt Post, Radu Soricut, Philipp Koehn, Findings of the 2012 Workshop on Statistical Machine Translation workshop on statistical machine translation. pp. 10- 51 ,(2012)
Kashif Shah, Eleftherios Avramidis, Ergun Biçici, Lucia Specia, QuEst – Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation The Prague Bulletin of Mathematical Linguistics. ,vol. 100, pp. 19- 30 ,(2013) , 10.2478/PRALIN-2013-0008
Ergun Bicici, Referential Translation Machines for Quality Estimation workshop on statistical machine translation. pp. 343- 351 ,(2013)
Lucia Specia, Kashif Shah, Daniel Beck, Trevor Cohn, SHEF-Lite: When Less is More for Translation Quality Estimation workshop on statistical machine translation. pp. 337- 342 ,(2013)
Lucia Specia, Kashif Shah, Trevor Cohn, Jose G.C. de Souza, QuEst - A translation quality estimation framework meeting of the association for computational linguistics. pp. 79- 84 ,(2013)
Lucia Specia, Mariano Felice, Linguistic Features for Quality Estimation workshop on statistical machine translation. pp. 96- 103 ,(2012)
Sylvain Raybaud, David Langlois, Kamel Sma"ili, LORIA System for the WMT12 Quality Estimation Shared Task workshop on statistical machine translation. pp. 114- 119 ,(2012)