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Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models.

, , , , , and . ICASSP, page 5985-5989. IEEE, (2016)

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Smart Computer-Aided Translation Environment (SCATE): Highlights., , , , , , , , , and 11 other author(s). EAMT, (2018)User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems., , , , , and . Interspeech, page 226-230. ISCA, (2021)Pruning sparse non-negative matrix n-gram language models., , and . INTERSPEECH, page 1433-1437. ISCA, (2015)Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence., , , , and . INTERSPEECH, page 1074-1078. ISCA, (2016)Language Models of Spoken Dutch., , , , and . CoRR, (2017)On the long-term learning ability of LSTM LMs., , , , , and . ESANN, page 625-630. (2020)Smart Computer Aided Translation Environment - SCATE., , , , , , , , , and 3 other author(s). EAMT, European Association for Machine Translation, (2015)Sparse non-negative matrix language modeling for skip-grams., , and . INTERSPEECH, page 1428-1432. ISCA, (2015)Information-Weighted Neural Cache Language Models for ASR., , , and . SLT, page 756-762. IEEE, (2018)Character-Word LSTM Language Models., , , and . EACL (1), page 417-427. Association for Computational Linguistics, (2017)