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EAMT 2024 — accepted papers

EAMT 2024 is the 2024 edition of the Annual Conference of the European Association for Machine Translation (EAMT), held in Sheffield, UK, June 2024 (publisher: European Association for Machine Translation). The ACL Anthology lists 86 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

All accepted papers (86)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. A Case Study on Context-Aware Neural Machine Translation with Multi-Task LearningRamakrishna Appicharla, Baban Gain, Santanu Pal et al.
  2. A Case Study on Contextual Machine Translation in a Professional Scenario of SubtitlingSebastian Vincent, Charlotte Prescott, Chris Bayliss et al.
  3. AI4Culture: Towards Multilingual Access for Cultural Heritage DataTom Vanallemeersch, Sara Szoc, Laurens Meeus
  4. Aligning Neural Machine Translation Models: Human Feedback in Training and InferenceMiguel Ramos, Patrick Fernandes, António Farinhas et al.
  5. Boosting Machine Translation with AI-powered terminology featuresMarek Sabo, Judith Klein, Giorgio Bernardinello
  6. Creating and Evaluating a Multilingual Corpus of UN General Assembly DebatesHannah Bechara, Krishnamoorthy Manohara, Slava Jankin
  7. Cultural Transcreation with LLMs as a new productBeatriz Silva, Helena Wu, Yan Jingxuan et al.
  8. Enhancing Scientific Discourse: Machine Translation for the Scientific DomainDimitris Roussis, Sokratis Sofianopoulos, Stelios Piperidis

See all 86 papers in EAMT 2024 — accepted papers →

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

 Top topics

Topics of its works in our library, with the number of works on each.

Machine translation (1)

 Fields

Arts and Humanities (1)Computer Science (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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