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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 49 - A test-suite for the evaluation of Portuguese-English machine translations ... PROPOR 2022 2022; Amaral Garcia Avelino, Mariana; Avramidis, Eleftherios. - : Underline Science Inc., 2022 BASE Show details 2 A Data Augmentation Approach for Sign-Language-To-Text Translation In-The-Wild ... Nunnari, Fabrizio; España-Bonet, Cristina; Avramidis, Eleftherios. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 3 Observing the Learning Curve of Neural Machine Translation with regard to Linguistic Phenomena ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Avramidis, Eleftherios; Macketanz, Vivien. - : Underline Science Inc., 2021 BASE Show details 4 Fine-grained linguistic evaluation for state-of-the-art Machine Translation ... Avramidis, Eleftherios; Macketanz, Vivien; Strohriegel, Ursula; Burchardt, Aljoscha; Möller, Sebastian. - : arXiv, 2020 Abstract: This paper describes a test suite submission providing detailed statistics of linguistic performance for the state-of-the-art German-English systems of the Fifth Conference of Machine Translation (WMT20). The analysis covers 107 phenomena organized in 14 categories based on about 5,500 test items, including a manual annotation effort of 45 person hours. Two systems (Tohoku and Huoshan) appear to have significantly better test suite accuracy than the others, although the best system of WMT20 is not significantly better than the one from WMT19 in a macro-average. Additionally, we identify some linguistic phenomena where all systems suffer (such as idioms, resultative predicates and pluperfect), but we are also able to identify particular weaknesses for individual systems (such as quotation marks, lexical ambiguity and sluicing). Most of the systems of WMT19 which submitted new versions this year show improvements. ... : 11 pages, 1 figure, Fifth Conference of Machine Translation, WMT20 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2010.06359 https://arxiv.org/abs/2010.06359 BASE Hide details 5 Comparative Quality Estimation for Machine Translation. An Application of Artificial Intelligence on Language Technology using Machine Learning of Human Preferences ... Avramidis, Eleftherios. - : Universität des Saarlandes, 2019 BASE Show details 6 Poor man’s lemmatisation for automatic error classification Popovic, Maja; Burchardt, Aljoscha; Avramidis, Eleftherios. - : European Association for Machine Translation, 2019 BASE Show details 7 Fine-grained evaluation of German-English Machine Translation based on a Test Suite ... Macketanz, Vivien; Avramidis, Eleftherios; Burchardt, Aljoscha. - : arXiv, 2019 BASE Show details 8 Linguistic evaluation of German-English Machine Translation using a Test Suite ... Avramidis, Eleftherios; Macketanz, Vivien; Strohriegel, Ursula. - : arXiv, 2019 BASE Show details 9 Comparative Quality Estimation for Machine Translation. An Application of Artificial Intelligence on Language Technology using Machine Learning of Human Preferences Avramidis, Eleftherios. - : Saarländische Universitäts- und Landesbibliothek, 2019 BASE Show details 10 QE::GUI – A Graphical User Interface for Quality Estimation Avramidis Eleftherios In: Prague Bulletin of Mathematical Linguistics , Vol 109, Iss 1, Pp 51-60 (2017) (2017) BASE Show details 11 Comparative Quality Estimation for Machine Translation Observations on Machine Learning and Features Avramidis Eleftherios In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 307-318 (2017) (2017) BASE Show details 12 Qualitative: Python Tool for MT Quality Estimation Supporting Server Mode and Hybrid MT Avramidis Eleftherios In: Prague Bulletin of Mathematical Linguistics , Vol 106, Iss 1, Pp 147-158 (2016) (2016) BASE Show details 13 MT-ComparEval: Graphical evaluation interface for Machine Translation development Klejch Ondřej; Avramidis Eleftherios; Burchardt Aljoscha... In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 63-74 (2015) (2015) BASE Show details 14 Qualitative: Open source Python tool for Quality Estimation over multiple Machine Translation outputs Avramidis, Eleftherios; Poustka, Lukas; Schmeier, Sven In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2014) 102, 5-16 OLC Linguistik Show details 15 Sentence-level ranking with quality estimation Avramidis, Eleftherios In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 27 (2013) 3, 239-256 OLC Linguistik Show details 16 Rankeval: Open Tool for Evaluation of Machine-Learned Ranking Avramidis, Eleftherios In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2013) 100, 63-72 OLC Linguistik Show details 17 QuEst-Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation Shah, Kashif; Avramidis, Eleftherios; Biçici, Ergun... In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2013) 100, 19-29 OLC Linguistik Show details

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