본문 바로가기
KERD
논문KCI 등재

Designing Computer-Assisted Translation Software for Trainee Translators Based on Classroom Parallel Corpora

Jaerang Lee
통역번역연구소 (Ewha Research Institute for Translation Studies)|2018.06|T&I REVIEW|제8권 |pp. 7-30|DOI 10.22962/tnirvw.2018.8..001

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

machine translationtranslation pedagogyparallel corporatranslation classroomComputer-Assisted Translation (CAT)
주제분류통역번역학

초록

The machine translation industry’s shift from Statistical Machine Translation (SMT) to Neural Machine Translation (NMT) has recently brought renewed focus on Computer-Assisted Translation (CAT) in translation pedagogy. The purpose of this paper is to propose a CAT tool based on classroom parallel corpora. Trankit, a CAT software prototype the author designed, offers a powerful web-based platform for trainee translators along with a wide range of advanced search options and linguistic information such as concordance lines, syntax trees, and frequency information so that students can make full use of their corpus databases. Section 2 and 3 are literature reviews on parallel corpora and CAT, which are the central concepts forming the theoretical background of the design. Section 4 asserts the necessity of a new CAT tool in relations to these two underlying concepts. Section 5 presents the user interface of the program, exploring applications of CAT in translation training.

Abstract

The machine translation industry’s shift from Statistical Machine Translation (SMT) to Neural Machine Translation (NMT) has recently brought renewed focus on Computer-Assisted Translation (CAT) in translation pedagogy. The purpose of this paper is to propose a CAT tool based on classroom parallel corpora. Trankit, a CAT software prototype the author designed, offers a powerful web-based platform for trainee translators along with a wide range of advanced search options and linguistic information such as concordance lines, syntax trees, and frequency information so that students can make full use of their corpus databases. Section 2 and 3 are literature reviews on parallel corpora and CAT, which are the central concepts forming the theoretical background of the design. Section 4 asserts the necessity of a new CAT tool in relations to these two underlying concepts. Section 5 presents the user interface of the program, exploring applications of CAT in translation training.

참고문헌 (52)

  1. Bahdanau, D., "Neural machine translation by jointly learning to align and translate", Paper presented at ICLR 2015 (2014)
  2. Barrachina, S., "Statistical approaches to computer-assisted translation", Computational Linguistics, 35(1), pp.3~28 (2009)
  3. Bennett, S., "Computers and Translation: A translator's guide", pp.175~190 (2003), John Benjamins
  4. Bird, S., "Natural language processing with Python : analyzing text with the natural language toolkit" (2009), O'Reilly Media, Inc.
  5. "Korean entrepreneur went from translating K-Pop tweets to selling language data to web giants" (2015)[URL]
  6. Bowker, L., "Handbook of Translation Studies", pp.60~65 (2010), John Benjamin
  7. Brown, P. F., "Aligning sentences in parallel corpora", The 29th Annual Meeting on Association for Computational Linguistics Proceedings (1991)
  8. Bundgaard, K., "Translator attitudes towards translator-computer interaction-findings from a workplace study", HERMES-Journal of Language and Communication in Business, 56, pp.125~144 (2017)
  9. Chen, Y., "A teacher-student framework for zero-resource neural machine translation", Paper presented at the 55th Annual Meeting of the Association for Computational Linguistics (2017)
  10. 최수연, "번역학의 ‘기술적 전환’(Technological Turn): AI시대의 영상번역", 번역학연구, 18(2), pp.207~228 (2017), 한국번역학회[DOI]
  11. 전현주, "4차 산업혁명과 한국의 번역산업 현황 및 통번역 교육의 미래", 통번역교육연구, 15(3), pp.235~261 (2017), 한국통번역교육학회[DOI]
  12. Church, K. W., "Word association norms, mutual information, and lexicography", Computational Linguistics, 16(1), pp.22~29 (1990)
  13. Dagan, I., "Termight : Identifying and translating technical terminology", The Fourth Conference on Applied Natural Language Processing Proceedings (1994)
  14. Frankenberg-Garcia, A., "Training translators to use corpora hands-on : Challenges and reactions by a group of thirteen students at a UK university", Corpora, 10(3), pp.351~380 (2015)
  15. Fung, P., "A technical word-and term-translation aid using noisy parallel corpora across language groups", Machine Translation, 12(1), pp.53~87 (1997)
  16. Gallego-Hernández, D, "The use of corpora as translation resources : A study based on a survey of Spanish professional translators", Perspectives, 23(3), pp.375~391 (2015)
  17. "Competences for professional translators, experts in multilingual and multimedi a communication" (2009)[URL]
  18. "An introduction to translation memory" (2017)[URL]
  19. Hartley, T., "From testbench to workflow: Relocating MT in education and training", Translating and the Computer 20: Proceedings of Aslib Conference (1998)
  20. He, D., "Dual learning for machine translation", Paper presented at the Advances in Neural Information Processing Systems (2016)
  21. Hutchins, J., "The origins of the translator's workstation", Machine Translation, 13(4), pp.287~307 (1998)
  22. Isabelle, P., "Preface", Machine Translation, 12(1), pp.1~2 (1997)
  23. Kay, M., "The proper place of men and machines in language translation", Machine Translation, 12(1-2), pp.3~23 (1997)
  24. 김종희, "해외대학의 CAT(Computer Aided Translation) 수업사례 분석을 통한 언어 기반 융합수업 모형 연구", 통번역교육연구, 14(3), pp.25~44 (2016), 한국통번역교육학회[DOI]
  25. 김순미, "신경망번역기(NMT) 활용 학부 번역교육의 가능성 연구", 통번역교육연구, 15(3), pp.5~37 (2017), 한국통번역교육학회[DOI]
  26. Kiraly, D. C., "Beyond the Ivory Tower: Rethinking Translation Pedagogy", pp.3~32 (2003), John Benjamins
  27. "Our Vanishing Nights" (2008)[URL]
  28. Koponen, M., "How to teach machine translation post-editing? experiences from a post-editing course", Proceedings of the 4th Workshop on Post-Editing Technology and Practice (2015)
  29. Levý, J., "Translation as a decision process", Scientia Traductionis, 11(1), pp.72~96 (2012)
  30. Luong, M., "Addressing the rare word problem in neural machine translation", Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (2014)
  31. Markantonatou, S., "Using patterns for machine translation(MT)", Proceedings of the 11th Annual Conference of the European Association for Machine Translation (2006)
  32. Munteanu, D. S., "Improving machine translation performance by exploiting non-parallel corpora", Computational Linguistics, 31(4), pp.477~504 (2005)
  33. O'Brien, S., "Translation as human–computer interaction", Translation Spaces, 1(1), pp.101~122 (2012)
  34. O'Brien, S., "Towards intelligent post-editing interfaces", Paper presented at XXth FIT World Congress 2014 (2014)
  35. Olohan, M., "Translators and translation technology : The dance of agency", Translation Studies, 4(3), pp.342~357 (2011)
  36. Ordudari, M., "Translation procedures, strategies and methods", Translation Journal, 11(3), pp.8~ (2007)
  37. "Using MT post-editing for translator training" (2014)[URL]
  38. "Terminology Management (online)" (2014)[URL]
  39. "SDL Trados Studio 2017 Professional product brief" (2017)[URL]
  40. Sennrich, R., "Improving neural machine translation models with monolingual data", Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. (2015)
  41. Sharoff, S., "Translation as problem solving: Uses of comparable corpora", Paper presented at the Third International Workshop on Language Resources for Translation Work, Research & Training (2006)
  42. Shin, J., "Developing translator competence as translation tool users", Conference Interpretation and Translation, 9(1), pp.111~127 (2007)
  43. 신지선, "테크놀로지 패러다임에서의 번역능력 재조명", 통번역학연구, 21(4), pp.51~71 (2017), 통번역연구소[DOI]
  44. Somers, H., "Three perspectives on MT in the classroom", Paper presented at the MT Summit VIII Workshop on Teaching Machine Translation (2001)
  45. Sycz-Opoń, J., "Machine translation in the hands of trainee translators–an empirical study", Studies in Logic, Grammar and Rhetoric, 49(1), pp.195~212 (2017)
  46. Tiedemann, J., "Parallel data, tools and interfaces in OPUS", Paper presented at Lrec 2012 (2012)
  47. Tirkkonen-Condit, S., "Tapping and Mapping the Processes of Translation and Interpreting", pp.123~142 (2000), John Benjamins
  48. Wilss, W., "Knowledge and Skills in Translator Behavior", pp.174~191 (1996), John Benjamins
  49. "Google's neural machine translation system: Bridging the gap between human and machine translation" (2016)[URL]
  50. Yang, J., "Using computer assisted translation tools’translation quality assessment functionalities to assess students’ translations", The Language Scholar, 1(1), pp.90~105 (2017)
  51. Zajac, R., "Glossary-based MT engines in a multilingual analyst's workstation architecture", Machine Translation, 12(1-2), pp.131~151 (1997)
  52. Zanettin, F., "Bilingual comparable corpora and the training of translators", Meta : Journal Des Traducteurs, 1998, pp.43(4), 616~630

이 간행물의 다른 논문 (6건)

Social I dentity at Work: Interpreter’s Grammatical Choices and Interpersonal AlignmentYi Chen, Zhongwei Songpp. 31-60뷰티(헤어)문화 산업에 있어서 번역의 필요성 연구김동미, 류은주pp. 61-85Developing and Validating a Revision Scheme to Account for Both S ource and Target T exts: The Case of Japanese to Chinese Translation of Hybrid TextsBeibei Hepp. 87-118Recoding via Bilingual Memory in Sight Interpreting: A Combined Eye-tracking and Corpus-assisted Study 119 Lexical Recoding via Bilingual Memory in Sight Interpreting : A Combined Eye-tracking and Corpus-assisted StudyYue Lang, Linping Hou, Yuanjian Hepp. 119-141인하우스 통번역사의 직업지위에 관한 연구임세인pp. 143-149
원문 보기