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Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation., , and . EAMT, page 141-149. European Association for Machine Translation, (2022)Context-aware and gender-neutral Translation Memories., , , , , and . EAMT, page 437-444. European Association for Machine Translation, (2023)Revising the annotation of a Broadcast News corpus: a linguistic approach., , , , , , , , and . LREC, page 3908-3913. European Language Resources Association (ELRA), (2014)Dialogue Quality and Emotion Annotations for Customer Support Conversations., , , , , , , , and . CoRR, (2023)Cultural Transcreation with LLMs as a new product., , , , , , , , , and . EAMT (2), page 57-58. European Association for Machine Translation (EAMT), (2024)Acoustic-prosodic Entrainment in Structural Metadata Events., , , , and . INTERSPEECH, page 2176-2180. ISCA, (2018)Prosodic classification of discourse markers., , , , , , and . ICPhS, University of Glasgow, (2015)A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content., , , , and . EAMT, page 209-217. European Association for Machine Translation, (2022)Global Analysis of Entrainment in Dialogues., , , , and . IberSPEECH, volume 10077 of Lecture Notes in Computer Science, page 215-223. (2016)