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Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
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In: J Am Med Inform Assoc (2020)
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Classifying the reported ability in clinical mobility descriptions ...
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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Fantinuoli, Claudio; Defranq, Bart; Desmet, Bart; Vandierendonck, Mieke; Prandi, Bianca; Deysel, Elizabeth; Lesch, Harold; Devaux, Jerome; Ziegler, Klaus; Gigliobianco, Sebastiano. - : Language Science Press, 2018
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In: Language Science Press; (2018)
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Abstract:
Unlike other professions, the impact of information and communication technology on interpreting has been moderate so far. However, recent advances in the areas of remote, computer-assisted, and, most recently, machine interpreting, are gaining the interest of both researchers and practitioners. This volume aims at exploring key issues, approaches and challenges to the interplay of interpreting and technology, an area that is still underrepresented in the field of Interpreting Studies. The contributions to this volume cover topics in the area of computer-assisted and remote interpreting, both in the conference as well as in the court setting, and report on experimental studies.
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URL: https://langsci-press.org/catalog/book/209
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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Interpreting and technology
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In: Language Science Press; (2018)
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SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions ...
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Combining Lexico-semantic Features for Emotion Classification in Suicide Notes
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