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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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Discovering structure in speech recordings: Unsupervised learning of word and phoneme like units for automatic speech recognition
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In: Fraunhofer IAIS (2021)
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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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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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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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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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Abstract:
International audience ; his paper evaluates the use of intonational cues during word segmentation in French. Specifically, we aim to examine how the characteristicsof the fundamental frequency (F0)that can be observed at the beginning of wordsinfluence theirprocessing. Native speakers of French were presented with phonemically identical sequences, such as /selami/ (c’est l’amie/la mie“it’s the friend/the crumb”). To test which propertiesof the F0 affect the perceived segmentation,we manipulated the F0 slope and/or the mean value of the first vowel /a/ in consonant-initial items(e.g., lamie). To assess differences in off-line vs online processing, we used a two-alternative,forced-choice task in Experiment 1 and a lexical decision task in Experiment2. A previous study showed that vowel-initial segmentation was enhanced when the F0 mean value increased. However, the present study shows that modifying the F0 slope while keeping the F0 mean value constantalso influencesspeech segmentation in both off-line and online tasks. This suggests that listeners usethe F0 slope as a cue atthe beginning of content words.
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Keyword:
[SCCO.LING]Cognitive science/Linguistics; [SCCO.PSYC]Cognitive science/Psychology; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; F0; French; intonational cues; lexical segmentation; spoken word recognition
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URL: https://doi.org/10.21437/Interspeech.2020-2509 https://hal.archives-ouvertes.fr/hal-03042331
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The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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Data for: The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
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Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
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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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Not all words are equally acquired: transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
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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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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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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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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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