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Dealing with uncertain input in word learning., , and . ICDL, page 46-51. IEEE, (2010)SignON: Sign Language Translation. Progress and challenges., , , , , , , , , and 13 other author(s). EAMT, page 501-502. European Association for Machine Translation, (2023)Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project., , , , , , , , , and 4 other author(s). EAMT, page 323-324. European Association for Machine Translation, (2022)Unconstrained Speech Segmentation using Deep Neural Networks., , and . ICPRAM (1), page 248-254. SciTePress, (2015)DIANA, an end-to-end computational model of human word comprehension., , and . ICPhS, University of Glasgow, (2015)A novel feature transformation for vocal tract length normalization in automatic speech recognition., , , and . IEEE Trans. Speech Audio Process., 6 (6): 549-557 (1998)From diphones to allophones: from data to rules., , and . EUROSPEECH, page 1129-1131. ISCA, (1989)Analysis of context-dependent segmental duration for automatic speech recognition., , and . ICSLP, page 1181-1184. ISCA, (1996)On the error criteria in neural networks as a tool for human classification modelling., and . ICSLP, page 510-513. ISCA, (1996)Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences., , and . ICSLP, ISCA, (1998)