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Service registration chatbot: collecting and comparing dialogues from AMT workers and service's users.

, , , , , and . W-NUT@EMNLP, page 116-121. Association for Computational Linguistics, (2020)

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Automatic Rating of Spontaneous Speech for Low-Resource Languages., , , , and . SLT, page 339-345. IEEE, (2022)Outperforming Neural Readers Using Broad-Context Discriminative Language Modeling on the LAMBADA Word Prediction Task., , and . KONVENS, page 172-177. Österreichische Akademie der Wissenschaften, (2018)Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search., , , and . INTERSPEECH, page 4235-4239. ISCA, (2019)Service registration chatbot: collecting and comparing dialogues from AMT workers and service's users., , , , , and . W-NUT@EMNLP, page 116-121. Association for Computational Linguistics, (2020)FinChat: Corpus and Evaluation Setup for Finnish Chat Conversations on Everyday Topics., , , , and . INTERSPEECH, page 429-433. ISCA, (2020)Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech., , , and . INTERSPEECH, page 260-264. ISCA, (2020)Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models., , , and . SLTU-CCURL@LREC, page 41-45. European Language Resources association, (2020)Iterative Learning of Speech Recognition Models for Air Traffic Control., , , , , , and . INTERSPEECH, page 3519-3523. ISCA, (2018)Data augmentation for children ASR and child-adult speaker classification using voice conversion methods., , , and . INTERSPEECH, page 4593-4597. ISCA, (2023)Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling., , , and . NAACL-HLT (Student Research Workshop), page 29-34. Association for Computational Linguistics, (2019)