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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 59 1 Universal Dependencies and Semantics for English and Hebrew Child-directed Speech Szubert, Ida; Abend, Omri; Schneider, Nathan... In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 2 Do Infants Really Learn Phonetic Categories? Feldman, Naomi; Goldwater, Sharon; Dupoux, Emmanuel... In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03550830 ; Open Mind, MIT Press, 2021, 5, pp.113-131. ⟨10.1162/opmi_a_00046⟩ (2021) BASE Show details 3 Early phonetic learning without phonetic categories -- Insights from large-scale simulations on realistic input Schatz, Thomas; Feldman, Naomi,; Goldwater, Sharon... In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.archives-ouvertes.fr/hal-03070566 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (7), pp.e2001844118. ⟨10.1073/pnas.2001844118⟩ (2021) BASE Show details 4 Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji ... Robertson, Alexander; Magdy, Walid; Goldwater, Sharon. - : arXiv, 2021 BASE Show details 5 A phonetic model of non-native spoken word processing ... Matusevych, Yevgen; Kamper, Herman; Schatz, Thomas. - : arXiv, 2021 BASE Show details 6 Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech ... Szubert, Ida; Abend, Omri; Schneider, Nathan. - : arXiv, 2021 BASE Show details 7 Do Infants Really Learn Phonetic Categories? Feldman, Naomi H.; Goldwater, Sharon; Dupoux, Emmanuel... In: Open Mind (Camb) (2021) BASE Show details 8 Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input Schatz, Thomas; Feldman, Naomi H.; Goldwater, Sharon; Cao, Xuan-Nga; Dupoux, Emmanuel In: Proc Natl Acad Sci U S A (2021) Abstract: Before they even speak, infants become attuned to the sounds of the language(s) they hear, processing native phonetic contrasts more easily than nonnative ones. For example, between 6 to 8 mo and 10 to 12 mo, infants learning American English get better at distinguishing English and [l], as in “rock” vs. “lock,” relative to infants learning Japanese. Influential accounts of this early phonetic learning phenomenon initially proposed that infants group sounds into native vowel- and consonant-like phonetic categories—like and [l] in English—through a statistical clustering mechanism dubbed “distributional learning.” The feasibility of this mechanism for learning phonetic categories has been challenged, however. Here, we demonstrate that a distributional learning algorithm operating on naturalistic speech can predict early phonetic learning, as observed in Japanese and American English infants, suggesting that infants might learn through distributional learning after all. We further show, however, that, contrary to the original distributional learning proposal, our model learns units too brief and too fine-grained acoustically to correspond to phonetic categories. This challenges the influential idea that what infants learn are phonetic categories. More broadly, our work introduces a mechanism-driven approach to the study of early phonetic learning, together with a quantitative modeling framework that can handle realistic input. This allows accounts of early phonetic learning to be linked to concrete, systematic predictions regarding infants’ attunement. Keyword: Social Sciences URL: https://doi.org/10.1073/pnas.2001844118 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924220/ http://www.ncbi.nlm.nih.gov/pubmed/33510040 BASE Hide details 9 Multilingual acoustic word embedding models for processing zero-resource languages ... Kamper, Herman; Matusevych, Yevgen; Goldwater, Sharon. - : arXiv, 2020 BASE Show details 10 Improved acoustic word embeddings for zero-resource languages using multilingual transfer ... Kamper, Herman; Matusevych, Yevgen; Goldwater, Sharon. - : arXiv, 2020 BASE Show details 11 Analyzing autoencoder-based acoustic word embeddings ... Matusevych, Yevgen; Kamper, Herman; Goldwater, Sharon. - : arXiv, 2020 BASE Show details 12 Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals ... McCurdy, Kate; Goldwater, Sharon; Lopez, Adam. - : arXiv, 2020 BASE Show details 13 Evaluating computational models of infant phonetic learning across languages ... Matusevych, Yevgen; Schatz, Thomas; Kamper, Herman. - : arXiv, 2020 BASE Show details 14 Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages Hermann, Enno; Kamper, Herman; Goldwater, Sharon In: http://infoscience.epfl.ch/record/277105 (2020) BASE Show details 15 On understanding character-level models for representing morphology Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 16 Methods for morphology learning in low(er)-resource scenarios Bergmanis, Toms. - : The University of Edinburgh, 2020 BASE Show details 17 Discovering and analysing lexical variation in social media text Shoemark, Philippa Jane. - : The University of Edinburgh, 2020 BASE Show details 18 Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection ... Corkery, Maria; Matusevych, Yevgen; Goldwater, Sharon. - : arXiv, 2019 BASE Show details 19 Analyzing ASR pretraining for low-resource speech-to-text translation ... Stoian, Mihaela C.; Bansal, Sameer; Goldwater, Sharon. - : arXiv, 2019 BASE Show details 20 Low-resource speech translation Bansal, Sameer. - : The University of Edinburgh, 2019 BASE Show details Page: 1 2 3

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