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Is there a bilingual disadvantage for word segmentation? A computational modeling approach
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In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498905 ; Journal of Child Language, Cambridge University Press (CUP), 2021, pp.1-28. ⟨10.1017/S0305000921000568⟩ (2021)
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SM to: Is there a bilingual disadvantage for word segmentation? A computational modeling approach ...
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Early Tashelhiyt Berber word segmentation: the role of the Possible Word Constraint ...
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Handling cross and out-of-domain samples in Thai word segmentation
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In: 1003 ; 1016 (2021)
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Investigating Language Impact in Bilingual Approaches for Computational Language Documentation
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In: Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), ; SLTU-CCURL workshop, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-02895907 ; SLTU-CCURL workshop, LREC 2020, May 2020, Marseille, France (2020)
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Infants Segment Words from Songs—An EEG Study
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In: Brain Sciences ; Volume 10 ; Issue 1 (2020)
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MiNgMatch—A Fast N-gram Model for Word Segmentation of the Ainu Language
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In: Information ; Volume 10 ; Issue 10 (2019)
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Improving Basic Natural Language Processing Tools for the Ainu Language
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In: Information ; Volume 10 ; Issue 11 (2019)
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Morphosyntactic disambiguation and segmentation for historical Polish with graph-based conditional random fields
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In: 21st International Conference on Text, Speech and Dialogue (TSD 2018) ; https://hal.archives-ouvertes.fr/hal-01835573 ; 21st International Conference on Text, Speech and Dialogue (TSD 2018), Sep 2018, Brno, Czech Republic (2018)
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A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
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In: Language Resources and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-01807093 ; Language Resources and Evaluation Conference (LREC), Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Pi, May 2018, Miyazaki, Japan (2018)
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CoNLL 2017 and 2018 Shared Task Blind and Preprocessed Test Data
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Zeman, Daniel; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy and Uncertainty
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In: Brain Sciences ; Volume 8 ; Issue 6 (2018)
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Auditory disruption improves word segmentation: A functional basis for lenition phenomena
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In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 38 ; 2397-1835 (2018)
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Data-Driven Identification of German Phrasal Compounds
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In: Text, Speech, and Dialogue ; https://hal.archives-ouvertes.fr/hal-01575651 ; Kamil Ekštein; Václav Matoušek. Text, Speech, and Dialogue, 10415, Springer International Publishing, pp.192-200, 2017, Lecture Notes in Computer Science, 978-3-319-64205-5. ⟨10.1007/978-3-319-64206-2_22⟩ ; https://link.springer.com/bookseries/558 (2017)
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Segmenting and POS tagging Classical Tibetan using a memory-based tagger
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In: Meelen, Marieke; & Hill, Nathan. (2017). Segmenting and POS tagging Classical Tibetan using a memory-based tagger. Himalayan Linguistics, 16(2). doi:10.5070/H916234501. Retrieved from: http://www.escholarship.org/uc/item/8b83z79n (2017)
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Processing continuous speech in infancy: From major prosodic units to isolated word forms
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In: The Oxford Handbook of Developmental Linguistics ; https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02934162 ; Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. The Oxford Handbook of Developmental Linguistics, Oxford University Press, pp.133-156, 2016, 9780199601264. ⟨10.1093/oxfordhb/9780199601264.013.8⟩ ; https://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199601264.001.0001/oxfordhb-9780199601264 (2016)
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Unsupervised learning of morphology in the USSR
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In: Journées internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-01620908 ; Journées internationales d'Analyse statistique des Données Textuelles, Damon Mayaffre, Céline Poudat, Laurent Vanni, Véronique Magri, Peter Follette, Jun 2016, Nice, France (2016)
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Isolated Words Selectively Enhance Memory for High Transitional Probability Sound Sequences
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In: Masters Theses (2016)
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Abstract:
Research over the past two decades has demonstrated that infants are equipped with remarkable computational abilities that allow them to find words in continuous speech. Infants can encode information about the transitional probability (TP) between syllables to segment words from speech when tested immediately after familiarization with an artificial (e.g., Saffran, Aslin & Newport, 1996) or natural language (Pelucchi, Hay, & Saffran, 2009). However, infants’ ability to retain the sequential statistics beyond the immediate familiarization context remains unknown. In the present study, we examine infants’ memory for statistically-defined words 10- minutes following familiarization with a naturally produced Italian corpus. Eight-month-old English-learning infants were familiarized with Italian sentences that contained four embedded target words (see Pelucchi et al., 2009): two words had high internal TP (HTP, TP=1.0) and two had low TP (LTP, TP=.33) and were tested on their ability to discriminate HTP from LTP words using the Headturn Preference Procedure. When discrimination was tested following a 10-minute delay, infants listened equally to HTP and LTP words, suggesting that memory for statistical information likely decays over even short delays (Experiment 1). Experiments 2-4 were designed to test whether experience with isolated words selectively reinforces memory for statistically- defined words. When 8-month-olds were familiarized with the same corpus and then were given experience with the isolated words immediately after familiarization, they looked significantly longer to HTP words than LTP words after the 10-minute delay, suggesting that the experience with isolated words may reinforce memory for HTP words following a delay.
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Keyword:
Cognition and Perception; Developmental Psychology; First and Second Language Acquisition; isolated words; memory in infancy; statistical language learning; transitional probabilities; word segmentation
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URL: https://trace.tennessee.edu/cgi/viewcontent.cgi?article=5074&context=utk_gradthes
https://trace.tennessee.edu/utk_gradthes/3779
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Quantas sílabas tem “cháv(e)na”? Sobre o impacto dos apagamentos vocálicos na segmentação silábica de crianças no ensino pré-escolar
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In: Linguística : Revista de Estudos Linguísticos da Universidade do Porto, Vol 10, Pp 31-58 (2015) (2015)
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