PROGRAMME

TRACKS

Research track:

 

• Advances in various MT paradigms: data-driven, rule-based, and hybrid MT

• Incorporating external knowledge (e.g. document, image, metadata etc) into MT models

• MT applications and embedding: translation/localization aids, speech-to-speech, speech-to-text, OCR

• MT for communication (chats, blogs, social networks), multilingual applications, etc

• Technologies for MT deployment: quality estimation and domain adaptation

• MT in special settings: low resources, massive resources, high volume, low computing resources, crisis scenarios, etc.

• Human factors in MT and user interfaces for MT

• Ethical issues in translation

• Linguistic resources for MT: dictionaries, terminology banks, corpora

• MT evaluation techniques and evaluation results

• Empirical studies on translation data

 

User track:

 

• Analyses of the effects of applying research technology to practical application scenarios

• Descriptions of demonstrations appearing at the technology showcase

 

Translator track:

 

• Productivity measurements and their impact on MT adoption

• Impact of MT on translators’ work (pricing issues, post-editing tasks assignment and their acceptance among translators)

• Ethical and confidentiality issues when using MT

• Psycho-social aspects of MT adoption (translator attitudes and (pre-)conceptions)

• Types of MT errors which influence quality acceptance/rejection

• Discussions on the role of professional translators in MT development

• The business side of MT

• Integration of MT in large-scale production processes

• The importance of translator feedback in MTThe role of the freelance translator in MT

• The eruption of neural MT and its effect on the translation profession

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Projects track:

• Reports from publicly-funded research projects related to machine translation

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