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Enhancing Cross-border EU E-commerce through Machine Translation: Needed Language Resources, Challenges and Opportunities.

, , , , and . LREC, European Language Resources Association (ELRA), (2016)

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Improving Machine Translation of Educational Content via Crowdsourcing., , , , , , , , , and 4 other author(s). LREC, European Language Resources Association (ELRA), (2018)DELiC4MT: A Tool for Diagnostic MT Evaluation over User-defined Linguistic Phenomena., , , and . Prague Bull. Math. Linguistics, (2012)PRINCIPLE: Providing Resources in Irish, Norwegian, Croatian and Icelandic for the Purposes of Language Engineering., and . MTSummit (2), page 112-113. European Association for Machine Translation, (2019)Evaluating MT for massive open online courses - A multifaceted comparison between PBSMT and NMT systems., , , , , and . Machine Translation, 32 (3): 255-278 (2018)Online MT Services and Real Users? Needs: An Empirical Usability Evaluation.. AMTA, volume 3265 of Lecture Notes in Computer Science, page 74-85. Springer, (2004)Enhancing Cross-border EU E-commerce through Machine Translation: Needed Language Resources, Challenges and Opportunities., , , , and . LREC, European Language Resources Association (ELRA), (2016)Large-scale Machine Translation Evaluation of the iADAATPA Project., , , , , , , , , and 2 other author(s). MTSummit (2), page 179-185. European Association for Machine Translation, (2019)Is Neural Machine Translation the New State of the Art?, , , , , and . Prague Bull. Math. Linguistics, (2017)Editors' foreword to the special issue on human factors in neural machine translation., , , , and . Machine Translation, 33 (1-2): 1-7 (2019)A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena., , , , and . HLT-NAACL, page 20-23. The Association for Computational Linguistics, (2013)