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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 Page: 1 2 3 Hits 1 – 20 of 55 1 Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity ... Fu, Yingxue; Nederhof, Mark-Jan. - : arXiv, 2021 BASE Show details 2 Calculating the optimal step of arc-eager parsing for non-projective trees Nederhof, Mark Jan. - : Association for Computational Linguistics, 2021 BASE Show details 3 Automatic classification of human translation and machine translation : a study from the perspective of lexical diversity Fu, Yingxue; Nederhof, Mark Jan. - : Linkoping University Electronic Press, 2021 Abstract: By using a trigram model and fine-tuning a pretrained BERT model for sequence classification, we show that machine translation and human translation can be classified with an accuracy above chance level, which suggests that machine translation and human translation are different in a systematic way. The classification accuracy of machine translation is much higher than of human translation. We show that this may be explained by the difference in lexical diversity between machine translation and human translation. If machine translation has independent patterns from human translation, automatic metrics which measure the deviation of machine translation from human translation may conflate difference with quality. Our experiment with two different types of automatic metrics shows correlation with the result of the classification task. Therefore, we suggest the difference in lexical diversity between machine translation and human translation be given more attention in machine translation evaluation. ; Publisher PDF Keyword: 3rd-DAS; Artificial Intelligence; Q Science (General); Q1 URL: https://aclanthology.org/previews/ingest-nodalida/2021.motra-1.10/ http://hdl.handle.net/10023/23304 BASE Hide details 4 Calculating the optimal step in shift-reduce dependency parsing : from cubic to linear time Nederhof, Mark Jan. - 2019 BASE Show details 5 Investigation of keyboard and speech based text entry on mobile devices Reyal, Shyam Mehraaj. - : University of St Andrews, 2019. : The University of St Andrews, 2019 BASE Show details 6 Regular transductions with MCFG input syntax Nederhof, Mark Jan; Vogler, Heiko. - : Association for Computational Linguistics, 2019 BASE Show details 7 Calculating the Optimal Step in Shift-Reduce Dependency Parsing: From Cubic to Linear Time Nederhof, Mark-Jan In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 283-296 (2019) (2019) BASE Show details 8 A probabilistic model of Ancient Egyptian writing Nederhof, Mark Jan; Rahman, Fahrurrozi. - 2017 BASE Show details 9 The mat sat on the cat : investigating structure in the evaluation of order in machine translation McCaffery, Martin. - : University of St Andrews, 2017. : The University of St Andrews, 2017 BASE Show details 10 Hybrid grammars for parsing of discontinuous phrase structures and non-projective dependency structures Gebhardt, Kilian; Nederhof, Mark Jan; Vogler, Heiko. - 2017 BASE Show details 11 A derivational model of discontinuous parsing Nederhof, Mark Jan; Yli-Jyra, Anssi. - : Springer, 2017 BASE Show details 12 Transition-based dependency parsing as latent-variable constituent parsing Nederhof, Mark Jan. - : Association for Computational Linguistics, 2016 BASE Show details 13 A short proof that O2 is an MCFL Nederhof, Mark Jan. - : Association for Computational Linguistics, 2016 BASE Show details 14 Count-based state merging for probabilistic regular tree grammars Dietze, Toni; Nederhof, Mark Jan. - : Association for Computational Linguistics, 2015 BASE Show details 15 A probabilistic model of Ancient Egyptian writing Nederhof, Mark Jan; Rahman, Fahrurrozi. - : Association for Computational Linguistics, 2015 BASE Show details 16 St Andrews corpus of Ancient Egyptian Nederhof, Mark-Jan. - : University of St. Andrews, 2014 BASE Show details 17 PhilologEg Nederhof, Mark-Jan. - : University of St. Andrews, 2014 BASE Show details 18 Formal Grammar : 17th and 18th International Conferences, FG 2012 Opole, Poland, August 2012, Revised Selected PapersFG 2013 Düsseldorf, Germany, August 2013, Proceedings Morrill, Glyn; Nederhof, Mark-Jan. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013 UB Frankfurt Linguistik Show details 19 Formal grammar : 17th and 18th international conferences ; revised selected papers ; proceedings Morrill, Glyn V. (Hrsg.); Nederhof, Mark-Jan (Hrsg.). - Berlin [u.a.] : Springer, 2013 UB Frankfurt Linguistik Show details 20 Formal Grammar : 15th and 16th International Conference on Formal GrammarFG 2010 Copenhagen, Denmark, August 2010FG 2011 Lubljana, Slovenia, August 2011 de Groote, Philippe; Nederhof, Mark-Jan. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2012 UB Frankfurt Linguistik Show details Page: 1 2 3

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