一场持续性颠覆变革？ 统计机器翻译向神经机器翻译的转化

Kenny, Dorothy

doi:10.5565/rev/tradumatica.221

Cited by 12 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For authors such as de la Fuente (2012), Sakamoto, Evans & Torres Hostench (2018) or Kenny (2018), the above interaction is seen as a paradigm shift. In this new paradigm, we could consider that MT has overcome its condition of tool, a condition that it shares with other translation technologies (such as translation memories, for instance).…”

Section: Discussionmentioning

confidence: 99%

The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs

Pérez

Pastor

2022

Trans-Int

View full text Add to dashboard Cite

Discussions on the teaching of machine translation (MT) have usually remained confined to translation technology pedagogy. Syllabus design, models for competence development, methodologies and evaluation procedures in this area have benefited from advances in translation pedagogy, but findings relating to the teaching of MT have been slow to be implemented in the translation classroom. Numerous studies have reflected translators’ perspectives on MT, including those of professional associations, employers, and institutional organizations. Students’ perspectives have also been collected, but the voice of the translation instructors is yet to be heard. A number of questions arise: What do translator educators think of MT? Would they be willing to use it in the translation classroom? If so, how and to what purpose? To answer these and related questions, we present the results of a qualitative study conducted with a group of translation educators at Universitat de València (University of Valencia, Spain) in the context of a broader research project. We specifically investigated their beliefs and perspectives towards the introduction of MT into the translation classroom. We used open-ended questions to collect qualitative data, and subsequently analysed responses within the framework of Grounded Theory. Findings provide valuable insights for discussion on the following topics: MT literacy, the blurring of MT key concepts and categorizations, the effect of MT on the development of translation competences, agency in MT reaching a stage where there is no longer a place for the human translator, and the eventual eclipse of the translator.

show abstract

Section: Discussionmentioning

confidence: 99%

The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs

Pérez

Pastor

2022

Trans-Int

View full text Add to dashboard Cite

show abstract

“…Moreover, human feedback can identify what aspects of an NMT system need improvement and help establish desirable avenues for further investigation. Finally, being 10 For an in-depth analysis of the alleged revolutionary and disruptive potential of NMT, see Kenny (2018).…”

Section: Perceptions and Appraisals Of Qualitymentioning

confidence: 99%

What has changed with neural machine translation? A critical review of human factors

Ragni

Vieira

2021

Perspectives

View full text Add to dashboard Cite

In recent years, the push towards automation and translation productivity led to great efforts dedicated to the development of machine translation (MT) systems. Neural machine translation (NMT) represents the latest of these efforts. In this paper we present a critical review of human factors in NMT research with two goals: to provide a snapshot of research in NMT involving human stakeholders, and to appraise how professional translators have been included in discourses around NMT. We report four key findings. First, from translators' perspective, changes brought about by the neural paradigm are not as much to do with workflows, but rather with the NMT editing process and its specifics. Second, the majority of NMT research involving human stakeholders is directed towards advancing the state of MT development rather than ensuring the usefulness of NMT as a tool for professionals. Third, the review suggested overall narrow conceptualisations of translation productivity that were often based solely on measures of processing time or throughput.Fourth, it emerged that NMT investigations involving end-users are still relatively scarce. We present and discuss these findings, and make recommendations for future research on topics including the concept of productivity and the role of NMT as a professional tool.

show abstract

Neural Machine Translation: From Commodity to Commons?

Larsonneur¹

2020

When Translation Goes Digital

View full text Add to dashboard Cite

一场持续性颠覆变革？统计机器翻译向神经机器翻译的转化

Cited by 12 publications

References 7 publications

The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs

The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs

What has changed with neural machine translation? A critical review of human factors

Neural Machine Translation: From Commodity to Commons?

Contact Info

Product

Resources

About

一场持续性颠覆变革？ 统计机器翻译向神经机器翻译的转化

Cited by 12 publications

References 7 publications

The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs

The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs

What has changed with neural machine translation? A critical review of human factors

Neural Machine Translation: From Commodity to Commons?

Contact Info

Product

Resources

About

一场持续性颠覆变革？统计机器翻译向神经机器翻译的转化