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Testing the influence of musical expertise on novel word learning across the lifespan using a cross-sectional approach in children, young adults and older adults
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In: ISSN: 0093-934X ; EISSN: 1090-2155 ; Brain and Language ; https://hal-amu.archives-ouvertes.fr/hal-02437790 ; Brain and Language, Elsevier, 2019, 198, pp.104678. ⟨10.1016/j.bandl.2019.104678⟩ (2019)
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Nonword Repetition and Word Learning in Children with Specific Language Impairment
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In: Undergraduate Honors Thesis Collection (2019)
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Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
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In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-02274050 ; Open Mind, MIT Press, 2019, 3, pp.13-22. ⟨10.1162/opmi_a_00022⟩ (2019)
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Complex networks based word embeddings ; Apprentissage de plongements lexicaux par une approcheréseaux complexes
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In: TALN 2019 ; https://hal.archives-ouvertes.fr/hal-02408156 ; TALN 2019, Jul 2019, Toulouse, France (2019)
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Phoneme learning is influenced by the taxonomic organization of the semantic referents
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In: Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-02274093 ; Cognitive Science Society, Jul 2019, Montreal, Canada (2019)
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Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
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In: https://tel.archives-ouvertes.fr/tel-02286425 ; Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS062⟩ (2019)
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Emergence of analogy from relation learning.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 116, iss 10 (2019)
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| 8 |
Emergence of analogy from relation learning.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 116, iss 10 (2019)
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An analysis of the features of words that influence vocabulary difficulty. https://www.mdpi.com/2227-7102/9/1/8
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In: Scott, Judith; Hiebert, Elfrieda; Castaneda, Ruben; & Spichtig, A. (2019). An analysis of the features of words that influence vocabulary difficulty. https://www.mdpi.com/2227-7102/9/1/8. Education Sciences. UC Santa Cruz: Retrieved from: http://www.escholarship.org/uc/item/5dg5k95n (2019)
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Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
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In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02319818 ; Interspeech 2019, Sep 2019, Graz, Austria. ⟨10.21437/Interspeech.2019-1691⟩ (2019)
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| 11 |
Interactive L2 vocabulary acquisition in a lab-based immersion setting ...
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| 12 |
Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings ...
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Composition Models for the Representation and Semantic Interpretation of Nominal Compounds ...
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| 14 |
What Is the Relationship between Learning Spelling and Meaning Incidentally during Reading?
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In: http://rave.ohiolink.edu/etdc/view?acc_num=kent1558543156973626 (2019)
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| 15 |
The role of vowel length and glottalization in German learners’ perception of the English coda stop voicing contrast
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 10, No 1 (2019); 18 ; 1868-6354 (2019)
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Имитационная модель деятельности школьника, читающего текст ... : Simulation model of the activity of a pupil reading a text ...
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Cross-lingual embeddings for hate speech detection in comments ...
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Cross-lingual embeddings for hate speech detection in comments ...
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Automatic inference of causal reasoning chains from student essays
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In: College of Computing and Digital Media Dissertations (2019)
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