Laurent Prevot and Philippe Muller, in a study published in Dialogue Discourse Volume 16, found that classical fine-tuning remains the most effective approach for segmenting Elementary Discourse Units…
Researchers Bruno Cartoni, Sandrine Zufferey, and Thomas Meyer propose the translation-spotting technique, which uses translations in large parallel corpora to annotate discourse connectives like 'whi…
Researchers Paolo Di Natale, Elena Chiocchetti, Marlies Alber, and Egon W. Stemle found that reasoning models offer little benefit for simple term insertion but yield clear gains for homonym disambigu…
Judith Klein, in a paper presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) in June 2026 in Tilburg, Netherlands, introduced advanced CAT tool features …
A user study by researchers including Jeniffer Leal-Wyss, Delaney Lothian, Gabriel Bernier-Colborne, Rebecca Knowles, and Michel Simard, presented at the 26th Annual Conference of the European Associa…
A narrative review presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) in June 2026 finds that AI language technologies, increasingly powered by large la…
Researchers Leonor Graça, Vera Cabarrão, and Helena Moniz presented exploratory work at the 26th Annual Conference of the European Association for Machine Translation (EAMT) on automatically extractin…
Since 2023, translators for the Parliament of Canada have had the option to use neural machine translation (NMT) technology provided by the National Research Council of Canada (NRC) to support their w…
AIDA Agents, a multi-agent translation platform developed by Emanuele Di Rosa and Piotr Peszynski, outperforms all systems on 10 of 11 language pairs in the WMT24++ benchmark (11 languages) and achiev…
A study presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) found that glossary-augmented prompting of the Gemini LLM achieved the highest exact-match te…
A study presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) benchmarked safety across five large language models (LLMs) in English and Portuguese, findin…
The ARTICULATE project, funded by the CHIST-ERA call 2025, aims to democratize scientific knowledge beyond academia and English-speaking audiences by integrating AI with self-regulated learning to tra…
A study presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT 2026) evaluated an AI post-editing (AIPE) system across 71,262 production segments in five dom…
Nalin Kumar's position paper, presented at the 1st Workshop for Young Researchers in Natural Language Generation (YNLG) in Hanoi, Vietnam, in October 2025, proposes two efficient strategies for buildi…
Barkavi Sundararajan's PhD research, presented at the 1st Workshop for Young Researchers in Natural Language Generation in Hanoi, Vietnam, in October 2025, proposes two approaches to reduce hallucinat…
Kristyna Onderkova, a researcher presenting at the 1st Workshop for Young Researchers in Natural Language Generation (YNLG) in Hanoi, Vietnam, in October 2025, described her work on improving factual …
Researchers Jari Zegers and Bennett Kleinberg found limited evidence that large language model (LLM) text generation can predict psychological variables in longitudinal datasets, but observed topic di…
Researchers from the University of Mannheim and the University of Basel presented work in progress at the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSMS …
Researchers Mohamed Bahgat, Steven R Wilson, and Walid Magdy introduced Lexpansion, a supervised learning approach that uses dictionary definitions as input features to a BERT transformer model to exp…
A study presented at the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM '25 by Bonmu Ku found that multi-agent LLM frameworks enable pragmatic inference, …