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Measuring idiosyncratic interests in children with autism.

, , , and . ACL (2), page 212-217. The Association for Computer Linguistics, (2015)

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Graph-Based Word Alignment for Clinical Language Evaluation., and . Computational Linguistics, 41 (4): 549-578 (2015)Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation., and . CoRR, (2022)Vector space models for evaluating semantic fluency in autism., , and . ACL (2), page 32-37. Association for Computational Linguistics, (2017)An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language., , and . ACL (2), page 1008-1016. Association for Computational Linguistics, (2023)Semantic Text Summarization of Long Videos., , , , , and . WACV, page 989-997. IEEE Computer Society, (2017)Detecting linguistic idiosyncratic interests in autism using distributional semantic models., , , and . CLPsych@ACL, page 46-50. Association for Computational Linguistics, (2014)Data-driven Crosslinguistic Syntactic Transfer in Second Language Learning., , , and . CogSci, cognitivesciencesociety.org, (2022)Multimodal Alignment for Affective Content., , , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 21-28. AAAI Press, (2018)Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation., , and . EACL, page 123-131. Association for Computational Linguistics, (2023)Hallucinating system outputs for discriminative language modeling., , , , , , , , , and . MLSLP, ISCA, (2012)