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Lee, E.-K. R., Nair, S., & Feldman, N. H. (in press). "A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles." Findings of the Conference on Empirical Methods in Natural Language Processing. Rodriguez, J., Sreepada, K., Famularo, R. L., Goldwater, S., & Feldman, N. H. (in press). "Self-supervised speech representations display some human-like cross-linguistic perceptual abilities." Proceedings of the Conference on Natural Language Learning. Thorburn, C. A., Lau, E., & Feldman, N. H. (in press). "Exploring the effectiveness of reward-based learning strategies for second language speech sounds." Psychonomic Bulletin and Review. Famularo, R. L., Aboelata, A., Schatz, T., & Feldman, N. H. (2024). "Language discrimination may not rely on rhythm: A computational study." Proceedings of the 46th Annual Conference of the Cognitive Science Society. Liu, O. D., Tang, H., Feldman, N. H., & Goldwater, S. (2024). "A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech." Proceedings of the 46th Annual Conference of the Cognitive Science Society. [Computational Modeling Prize in Perception & Action] Brown, G. C. & Feldman, N. H. (2024). "Linking cognitive and neural models of audiovisual processing to explore speech perception in autism." Proceedings of the 46th Annual Conference of the Cognitive Science Society. Barak, L., Harmon, Z., Feldman, N. H., Edwards, J., & Shafto, P. (2023). "When children's production deviates from observed input: Modeling the variable production of the English past tense." Cognitive Science, 47(8), e13328. Jurov, N., Idsardi, W., & Feldman, N. H. (2023). "A neural architecture for selective attention to speech features." Proceedings of Interspeech. Jurov, N., Wolf, G., Idsardi, W., & Feldman, N. H. (2023). "Speech features are weighted by selective attention." Proceedings of the Conference on Cognitive Computational Neuroscience. Barak, L., Fernandez Echeverri, N., Feldman, N. H., & Shafto, P. (2023). "Modeling substitution errors in Spanish morphology learning." Proceedings of the 45th Annual Conference of the Cognitive Science Society. Matusevych, Y., Schatz, T., Kamper, H., Feldman, N. H., & Goldwater, S. (2023). "Infant phonetic learning as perceptual space learning: A crosslinguistic evaluation of computational models." Cognitive Science, 47(7), e13314. Harmon, Z., Barak, L., Shafto, P., Edwards, J., & Feldman, N. H. (2023). "The competition-compensation account of developmental language disorder." Developmental Science, 26(4), e13364. Hitczenko, K. & Feldman, N. H. (2022). "Naturalistic speech supports distributional learning across contexts." Proceedings of the National Academy of Sciences, 119(38), e2123230119. (code) Li, R., Schatz, T., & Feldman, N. H. (2022). "Modeling rhythm in speech as in music: Towards a unified cognitive representation." Proceedings of the Conference on Cognitive Computational Neuroscience. [NOTE: This is an updated version that corrects Table 1.] Krauska, A. & Feldman, N. H. (2022). "Modeling the regular/irregular dissociation in non-fluent aphasia in a recurrent neural network." Proceedings of the 44th Annual Conference of the Cognitive Science Society. Yang, C., Albright, A., & Feldman, N. H. (2022). "Assessing the learnability of process interactions using grammatical spaces." Proceedings of the 44th Annual Conference of the Cognitive Science Society. Ito, C. & Feldman, N. H. (2022). "Iterated learning models of language change: A case study of Sino-Korean accent." Cognitive Science, 46(4), e13115. Perkins, L., Feldman, N. H., & Lidz, J. (2022). "The power of ignoring: Filtering input for argument structure acquisition." Cognitive Science, 46(1), e13080. (code) Thorburn, C., Lau, E., & Feldman, N. (2022). "A reinforcement learning approach to speech category acquisition." Proceedings of the 46th Boston University Conference on Language Development. *Feldman, N. H., *Goldwater, S., Dupoux, E., & Schatz, T. (2021). "Do infants really learn phonetic categories?" Open Mind, 5, 113-131. (* = equal contribution) Orita, N., Ono, H., Feldman, N. H., & Lidz, J. (2021). "Japanese children's knowledge of the locality of zibun and kare." Language Acquisition, 28(4), 327-343. Orita, N., Vornov, E., & Feldman, N. H. (2021). "Informativity, topicality, and speech cost: Comparing models of speakers' choices of referring expressions." Discourse Processes, 58(8), 743-765. Harmon, Z., Barak, L., Shafto, P., Edwards, J., & Feldman, N. H. (2021). "Making heads or tails of it: A competition-compensation account of morphological deficits in language impairment." Proceedings of the 43rd Annual Conference of the Cognitive Science Society. Tripp, A., Feldman, N. H., & Idsardi, W. J. (2021). "Social inference may guide early lexical learning." Frontiers in Psychology, 12, 645247. Matusevych, Y., Kamper, H., Schatz, T., Feldman, N. H., & Goldwater, S. (2021). "A phonetic model of non-native word processing." Conference of the European Chapter of the Association for Computational Linguistics. [Best Paper Award Honorable Mention] Schatz, T., Feldman, N. H., Goldwater, S., Cao, X.-N., & Dupoux, E. (2021). "Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input." Proceedings of the National Academy of Sciences, 118(7), e2001844118. (code, data) Hitczenko, K., Mazuka, R., Elsner, M., & Feldman, N. H. (2020). "When context is and isn't helpful: A corpus study of naturalistic speech." Psychonomic Bulletin and Review, 27(4), 640-676. (code) Li, R., Schatz, T., Matusevych, Y., Goldwater, S., & Feldman, N. H. (2020). "Input matters in the modeling of early phonetic learning." Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (code) Matusevych, Y., Schatz, T., Kamper, H., Feldman, N. H., & Goldwater, S. (2020). "Evaluating computational models of infant phonetic learning across languages." Proceedings of the 42nd Annual Conference of the Cognitive Science Society. Ovans, Z., Huang, Y. T., & Feldman, N. H. (2020). "The (un)surprising Kindergarten Path." Proceedings of the 42nd Annual Conference of the Cognitive Science Society. Schneider, J. J., Perkins, L., & Feldman, N. H. (2020). "A noisy channel model for systematizing unpredictable input variation." Proceedings of the 44th Boston University Conference on Language Development. (code) Tripp, A., Feldman, N., & Idsardi, W. (2020). "Are infants sensitive to informant reliability in word learning?" Proceedings of the 44th Boston University Conference on Language Development. Liter, A., & Feldman, N. H. (2020). "Modeling the learning of the Person Case Constraint." Proceedings of the Society for Computation in Linguistics. Thorburn, C., Feldman, N. H., & Schatz, T. (2019). "A quantitative model of the language familiarity effect in infancy." Proceedings of the Conference on Cognitive Computational Neuroscience. Schatz, T. & Feldman, N. H. (2018). "Neural network vs. HMM speech recognition systems as models of human cross-linguistic phonetic perception." Proceedings of the Conference on Cognitive Computational Neuroscience. Hitczenko, K., Mazuka, R., Elsner, M., & Feldman, N. H. (2018). "How to use context to disambiguate overlapping categories: The test case of Japanese vowel length." Proceedings of the 40th Annual Conference of the Cognitive Science Society. Sundara, M., Ngon, C., Skoruppa, K., Feldman, N. H., Molina Onario, G., Morgan, J. L., & Peperkamp, S. (2018). "Young infants' discrimination of subtle phonetic contrasts." Cognition, 178, 57-66. Richter, C., Feldman, N. H., Salgado, H., & Jansen, A. (2017). "Evaluating low-level speech features against human perceptual data." Transactions of the Association for Computational Linguistics, 5, 425-440. Perkins, L., Feldman, N. H., & Lidz, J. (2017). "Learning an input filter for argument structure acquisition." Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics. Gagliardi, A., Feldman, N. H., & Lidz, J. (2017). "Modeling statistical insensitivity: Sources of suboptimal behavior." Cognitive Science, 41(1), 188-217. Antetomaso, S., Miyazawa, K., Feldman, N., Elsner, M., Hitczenko, K., & Mazuka, R. (2017). "Modeling phonetic category learning from natural acoustic data." Proceedings of the 41st Boston University Conference on Language Development. Kronrod, Y., Coppess, E., & Feldman, N. H. (2016). "A unified account of categorical effects in phonetic perception." Psychonomic Bulletin and Review, 23(6), 1681-1712. Ogawa, T., Mallidi, S. H., Dupoux, E., Cohen, J., Feldman, N. H., & Hermansky, H. (2016). "A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation." Proceedings of the 23rd International Conference on Pattern Recognition. Eaves Jr., B. S., Feldman, N. H., Griffiths, T. L., & Shafto, P. (2016). "Infant-directed speech is consistent with teaching." Psychological Review, 123(6), 758-771. Ettinger, A., Feldman, N. H., Resnik, P., & Phillips, C. (2016). "Modeling N400 amplitude using vector space models of word representation." Proceedings of the 38th Annual Conference of the Cognitive Science Society. Hitczenko, K. & Feldman, N. H. (2016). "Modeling adaptation to a novel accent." Proceedings of the 38th Annual Conference of the Cognitive Science Society. [NOTE: This is an updated version that corrects Figure 2.] Richter, C., Feldman, N. H., Salgado, H., & Jansen, A. (2016). "A framework for evaluating speech representations." Proceedings of the 38th Annual Conference of the Cognitive Science Society. Elsner, M., Antetomaso, S., & Feldman, N. H. (2016). "Joint word segmentation and phonetic category induction." Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Barrios, S. L., Namyst, A. M., Lau, E. F., Feldman, N. H., & Idsardi, W. J. (2016). "Establishing new mappings between familiar phones: Neural and behavioral evidence for early automatic processing of nonnative contrasts." Frontiers in Psychology, 7, 995. Orita, N., Vornov, E., Feldman, N. H., & Daumé III, H. (2015). "Why discourse affects speakers' choice of referring expressions." Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics. Richardson, R. R., Feldman, N. H., & Idsardi, W. (2015). "What defines a category? Evidence that listeners' perception is governed by generalizations." Proceedings of the 37th Annual Conference of the Cognitive Science Society. Hermansky, H., Burget, L., Cohen, J., Dupoux, E., Feldman, N., Godfrey, J., Khudanpur, S., Maciejewski, M., Mallidi, H., Menon, A., Ogawa, T., Peddinti, V., Rose, R., Stern, R., Wiesener, M., & Veselý, K. (2015). "Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek memorial workshop." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Orita, N., Vornov, E., Feldman, N. H., & Boyd-Graber, J. (2014). "Quantifying the role of discourse topicality in speakers' choices of referring expressions." Proceedings of the 2014 ACL Workshop on Cognitive Modeling and Computational Linguistics. [NOTE: This is an updated version that corrects a minor bug in the computation of the log likelihood ratio.] Frank, S., Feldman, N. H., & Goldwater, S. (2014). "Weak semantic context helps phonetic learning in a model of infant language acquisition." Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. Elsner, M., Goldwater, S., Feldman, N. H., & Wood, F. (2013). "A joint learning model of word segmentation, lexical acquisition, and phonetic variability." Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Feldman, N. H., Griffiths, T. L., Goldwater, S., & Morgan, J. L. (2013). "A role for the developing lexicon in phonetic category acquisition." Psychological Review, 120(4), 751-778. (code) Orita, N., McKeown, R., Feldman, N. H., Lidz, J., & Boyd-Graber, J. (2013). "Discovering pronoun categories using discourse information." Proceedings of the 35th Annual Conference of the Cognitive Science Society. Jansen, A., Dupoux, E., Goldwater, S., Johnson, M., Khudanpur, S., Church, K., Feldman, N., Hermansky, H., Metze, F., Rose, R., Seltzer, M., Clark, P., McGraw, I., Varadarajan, B., Bennett, E., Borschinger, B., Chiu, J., Dunbar, E., Fourtassi, A., Harwath, D., Lee, C., Levin, K., Norouzian, A., Peddinti, V., Richardson, R., Schatz, T., & Thomas, S. (2013). "A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Feldman, N. H., Myers, E. B., White, K. S., Griffiths, T. L., & Morgan, J. L. (2013). "Word-level information influences phonetic learning in adults and infants." Cognition, 127(3), 427-438. Gagliardi, A., Bennett, E., Lidz, J., & Feldman, N. H. (2012). "Children's inferences in generalizing novel nouns and adjectives." Proceedings of the 34th Annual Conference of the Cognitive Science Society. Gagliardi, A., Feldman, N. H., & Lidz, J. (2012). "When suboptimal behavior is optimal and why: Modeling the acquisition of noun classes in Tsez." Proceedings of the 34th Annual Conference of the Cognitive Science Society. Kronrod, Y., Coppess, E., & Feldman, N. H. (2012). "A unified model of categorical effects in consonant and vowel perception." Proceedings of the 34th Annual Conference of the Cognitive Science Society. Feldman, N., Myers, E., White, K., Griffiths, T., & Morgan, J. (2011). "Learners use word-level statistics in phonetic category acquisition." Proceedings of the 35th Boston University Conference on Language Development. Shi, L., Griffiths, T. L., Feldman, N. H., & Sanborn, A. N. (2010). "Exemplar models as a mechanism for performing Bayesian inference." Psychonomic Bulletin and Review, 17(4), 443-464. [Best Article of the Year Award] Feldman, N. H., Griffiths, T. L., & Morgan, J. L. (2009). "The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference." Psychological Review, 116(4), 752-782. Feldman, N. H., Griffiths, T. L., & Morgan, J. L. (2009). "Learning phonetic categories by learning a lexicon." Proceedings of the 31st Annual Conference of the Cognitive Science Society. Soderstrom, M., Conwell, E., Feldman, N., & Morgan, J. (2009). "The learner as statistician: Three principles of computational success in language acquisition." Developmental Science, 12(3), 409-411. Shi, L., Feldman, N. H., & Griffiths, T. L. (2008). "Performing Bayesian inference with exemplar models." Proceedings of the 30th Annual Conference of the Cognitive Science Society. Feldman, N. H. & Griffiths, T. L. (2007). "A rational account of the perceptual magnet effect." Proceedings of the 29th Annual Conference of the Cognitive Science Society. |