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Investigating alignment interpretability for low-resource NMT
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021)
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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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| 6 |
Handling cross and out-of-domain samples in Thai word segmentation
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In: 1003 ; 1016 (2021)
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Measuring (online) word segmentation in adults and children
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In: Dutch Journal of Applied Linguistics, Vol 10 (2021) (2021)
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| 8 |
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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| 9 |
F0 Slope and Mean: Cues to Speech Segmentation in French
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In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-03042331 ; Interspeech 2020, Oct 2020, Shanghai, China. pp.1610-1614, ⟨10.21437/Interspeech.2020-2509⟩ (2020)
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| 10 |
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
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| 11 |
Infants Segment Words from Songs—An EEG Study
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In: Brain Sciences ; Volume 10 ; Issue 1 (2020)
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| 12 |
Not all words are equally acquired: transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
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| 13 |
Controlling Utterance Length in NMT-based Word Segmentation with Attention
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343206 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China (2019)
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| 14 |
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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| 15 |
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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| 17 |
Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion
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In: Applied Sciences ; Volume 9 ; Issue 18 (2019)
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| 18 |
How Accurately Do Infants Represent Lexical Stress Information in Recently Segmented Words?
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In: Masters Theses (2019)
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| 19 |
Acoustic Cues Used by Learners of English
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In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2018 Annual Meeting on Phonology ; 2377-3324 (2019)
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| 20 |
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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