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Entropy Estimation Using a Linguistic Zipf–Mandelbrot–Li Model for Natural Sequences
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In: Entropy ; Volume 23 ; Issue 9 (2021)
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| 4 |
Probabilistic Lexicographic Preference Trees
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In: UNF Faculty Publications (2021)
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| 5 |
Concord begets concord: A Bayesian model of nominal concord typology
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 541–555 ; 2473-8689 (2021)
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| 6 |
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
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Kucherenko, Taras; Henter, Gustav Eje; Beskow, Jonas. - : KTH, Tal, musik och hörsel, TMH, 2020. : KTH, Robotik, perception och lärande, RPL, 2020. : Wiley, 2020
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| 7 |
Unsupervised Formal Grammar Induction with Confidence
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In: Proceedings of the Society for Computation in Linguistics (2020)
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| 8 |
Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater
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In: LANGUAGE, vol 95, iss 1 (2019)
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| 9 |
Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater
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In: Pearl, Lisa S. (2019). Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater. Language, 95(1), e109 - e114. doi:10.1353/lan.2019.0017. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/44x782pc (2019)
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| 10 |
Representing linguistic knowledge with probabilistic models
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In: Meylan, Stephan Charles. (2018). Representing linguistic knowledge with probabilistic models. UC Berkeley: Psychology. Retrieved from: http://www.escholarship.org/uc/item/5vp920sn (2018)
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| 12 |
Exploiting phonological constraints for handshape recognition in sign language video
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| 13 |
Automatic assessment of depression from speech: paralinguistic analysis, modelling and machine learning
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| 14 |
Тематические модели: добавление биграмм и учет сходства между униграммами и биграммами ... : Topic models: adding bigrams and taking account of the similarity between unigrams and bigrams ...
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Нокель, М.А.; Лукашевич, Н.В.. - : Научно-исследовательский вычислительный центр Московского государственного университета им. М.В. Ломоносова, 2015
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| 15 |
Speaker-dependent Multipitch Tracking Using Deep Neural Networks
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| 17 |
Generative probabilistic models of goal-directed users in task-oriented dialogs
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| 18 |
Methods and algorithms for unsupervised learning of morphology
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In: 8403 ; 177 ; 205 (2014)
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| 20 |
Models, Inference, and Implementation for Scalable Probabilistic Models of Text
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