Seminarium doktoranckie 260-SDJ3-2SEM2

Belam, J. (2003). Buying up to falling down: A deductive approach to teaching post-editing. In MT Summit IX Workshop on Teaching Translation Technologies and Tools (T4 Third Workshop on Teaching Machine Translation), pages 1–10.
Brożyna-Reczko, M. 2020. „Narzędzia Cyfrowe w Dydaktyce Przekładu: Zasoby Leksykalne Oraz Narzędzia Korpusowe Do Edycji Tekstu.” In Roczniki Humanistyczne, No. 68, 181-193.
Depraetere, I. (2010). What counts as useful advice in a university post-editing training context? In EAMT 2010: Proceedings of the 14 th annual conference of the European
association for machine translation, 1–9, Saint-Raphaël, France.
Doherty, S., Kenny, D. (2014). The design and evaluation of a statistical machine translation syllabus for translation students. In The Interpreter and Translator Trainer 8(2), 295–315
Flanagan, M., Paulsen Christensen, T. (2014). Testing post-editing guidelines: how translation trainees interpret them and how to tailor them for translator training purposes, In The Interpreter and Translator Trainer, 8:2, 257-275
Guerberof Arenas, A., Moorkens, J. (2019). Machine translation and post-editing training as part of a master’s programme. In The Journal of Specialised Translation Issue 31, 217-238
Kliffer, M. (2008). Post-Editing Machine Translation As an FSL Exercise. In Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras. Nº. 9, 53-68.
O’Brien, S. (2002). Teaching post-editing: a proposal for course content. In 6th EAMT Workshop Teaching Machine Translation, 99–106.
Pym, A. (2013). Translation Skill-Sets in a Machine-Translation Age. In Meta: Translators’ Journal, vol. 58, n° 3, 487-503.
Nikishina, M. 2018. “MT-assisted TM translation: the future of translation or just a fad?” In Applied Linguistics Papers 25/4, University of Warsaw, 91–100.
Rybicki, J. 2021. „Stylometry 0, Machine Translation 1. Deep Learning Based MT Scores Important Away Win” In Book of abstracts CALT 2021
https://docs.google.com/document/d/e/2PACX-
1vRWAAgOpMCWqGniXJAULzCra1e4We2U7lQj53e7qbKNIgHvjLGmHrwlsqbqCJC QIwJ11tztjQVmXMu6/pub.
Świątek, J. 2015. “The Potential and Limits of Statistical Machine Translation”
http://cejsh.icm.edu.pl/cejsh/element/bwmeta1.element.desklight-77fcb44a-60a8-4ace-87df-6b71106d3df2/c/art18.pdf.
Tomaszkiewicz, T. 2019. “Ewolucja kształcenia tłumaczy zawodowych w kontekście wyzwań współczesnego przekładoznawstwa i wymogów rynku pracy.” In Między Oryginałem a Przekładem 44, 199-216.
Wilson, T. D. 2005. “Participant Observation,” In Encyclopedia of Social Measurement vol. 3, ed. Kimberly Kempf-Leonard (Amsterdam: Elsevier), 19-24.
Witczak, O. 2016a. „Tłumacze kontra maszyny, czyli o tłumaczeniu wspomaganym komputerowo.” In Tłumacz – praktyczne aspekty zawodu Publisher: Wydawnictwo Naukowe UAM, 203-234.

Belam, J. (2003). Buying up to falling down: A deductive approach to teaching post-editing. In MT Summit IX Workshop on Teaching Translation Technologies and Tools (T4 Third Workshop on Teaching Machine Translation), pages 1–10.
Brożyna-Reczko, M. 2020. „Narzędzia Cyfrowe w Dydaktyce Przekładu: Zasoby Leksykalne Oraz Narzędzia Korpusowe Do Edycji Tekstu.” In Roczniki Humanistyczne, No. 68, 181-193.
Depraetere, I. (2010). What counts as useful advice in a university post-editing training context? In EAMT 2010: Proceedings of the 14 th annual conference of the European
association for machine translation, 1–9, Saint-Raphaël, France.
Doherty, S., Kenny, D. (2014). The design and evaluation of a statistical machine translation syllabus for translation students. In The Interpreter and Translator Trainer 8(2), 295–315
Flanagan, M., Paulsen Christensen, T. (2014). Testing post-editing guidelines: how translation trainees interpret them and how to tailor them for translator training purposes, In The Interpreter and Translator Trainer, 8:2, 257-275
Guerberof Arenas, A., Moorkens, J. (2019). Machine translation and post-editing training as part of a master’s programme. In The Journal of Specialised Translation Issue 31, 217-238
Kliffer, M. (2008). Post-Editing Machine Translation As an FSL Exercise. In Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras. Nº. 9, 53-68.
O’Brien, S. (2002). Teaching post-editing: a proposal for course content. In 6th EAMT Workshop Teaching Machine Translation, 99–106.
Pym, A. (2013). Translation Skill-Sets in a Machine-Translation Age. In Meta: Translators’ Journal, vol. 58, n° 3, 487-503.
Nikishina, M. 2018. “MT-assisted TM translation: the future of translation or just a fad?” In Applied Linguistics Papers 25/4, University of Warsaw, 91–100.
Rybicki, J. 2021. „Stylometry 0, Machine Translation 1. Deep Learning Based MT Scores Important Away Win” In Book of abstracts CALT 2021
https://docs.google.com/document/d/e/2PACX-
1vRWAAgOpMCWqGniXJAULzCra1e4We2U7lQj53e7qbKNIgHvjLGmHrwlsqbqCJC QIwJ11tztjQVmXMu6/pub.
Świątek, J. 2015. “The Potential and Limits of Statistical Machine Translation”
http://cejsh.icm.edu.pl/cejsh/element/bwmeta1.element.desklight-77fcb44a-60a8-4ace-87df-6b71106d3df2/c/art18.pdf.
Tomaszkiewicz, T. 2019. “Ewolucja kształcenia tłumaczy zawodowych w kontekście wyzwań współczesnego przekładoznawstwa i wymogów rynku pracy.” In Między Oryginałem a Przekładem 44, 199-216.
Wilson, T. D. 2005. “Participant Observation,” In Encyclopedia of Social Measurement vol. 3, ed. Kimberly Kempf-Leonard (Amsterdam: Elsevier), 19-24.
Witczak, O. 2016a. „Tłumacze kontra maszyny, czyli o tłumaczeniu wspomaganym komputerowo.” In Tłumacz – praktyczne aspekty zawodu Publisher: Wydawnictwo Naukowe UAM, 203-234.