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S4D: Speaker Diarization Toolkit in Python., , , , , and . INTERSPEECH, page 1368-1372. ISCA, (2018)What types of word alignment improve statistical machine translation?, , , and . Mach. Transl., 26 (4): 289-323 (2012)Statistical Analysis of Alignment Characteristics for Phrase-based Machine Translation., , , and . EAMT, European Association for Machine Translation, (2010)Calculation of Phrase Probabilities for Statistical Machine Translation by using Belief Functions., and . COLING (Posters), page 1101-1110. Indian Institute of Technology Bombay, (2012)Evaluating human corrections in a computer-assisted speaker diarization system., , , , and . Lang. Resour. Evaluation, 55 (1): 151-172 (2021)Towards lifelong human assisted speaker diarization., , , , , , , , , and 3 other author(s). Comput. Speech Lang., (2023)Independence Tests for Uncertain Data with a Frequentist Method.. SMPS, volume 77 of Advances in Intelligent and Soft Computing, page 519-526. Springer, (2010)Utilisation des fonctions de croyance pour l'estimation de paramètres en traduction automatique (Feature calculation for Statistical Machine Translation by using belief functions) in French., and . JEP-TALN-RECITAL, page 543-550. ATALA/AFCP, (2012)Combining transcription-based and acoustic-based speaker identifications for broadcast news., , , and . ICASSP, page 4377-4380. IEEE, (2012)