| 2 |
Investigating alignment interpretability for low-resource NMT
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Is there a bilingual disadvantage for word segmentation? A computational modeling approach
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
SM to: Is there a bilingual disadvantage for word segmentation? A computational modeling approach ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Early Tashelhiyt Berber word segmentation: the role of the Possible Word Constraint ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Handling cross and out-of-domain samples in Thai word segmentation
|
|
|
|
In: 1003 ; 1016 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Measuring (online) word segmentation in adults and children
|
|
|
|
In: Dutch Journal of Applied Linguistics, Vol 10 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
F0 Slope and Mean: Cues to Speech Segmentation in French
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Infants Segment Words from Songs—An EEG Study
|
|
|
|
In: Brain Sciences ; Volume 10 ; Issue 1 (2020)
|
|
Abstract:
Children&rsquo ; s songs are omnipresent and highly attractive stimuli in infants&rsquo ; input. Previous work suggests that infants process linguistic&ndash ; phonetic information from simplified sung melodies. The present study investigated whether infants learn words from ecologically valid children&rsquo ; s songs. Testing 40 Dutch-learning 10-month-olds in a familiarization-then-test electroencephalography (EEG) paradigm, this study asked whether infants can segment repeated target words embedded in songs during familiarization and subsequently recognize those words in continuous speech in the test phase. To replicate previous speech work and compare segmentation across modalities, infants participated in both song and speech sessions. Results showed a positive event-related potential (ERP) familiarity effect to the final compared to the first target occurrences during both song and speech familiarization. No evidence was found for word recognition in the test phase following either song or speech. Comparisons across the stimuli of the present and a comparable previous study suggested that acoustic prominence and speech rate may have contributed to the polarity of the ERP familiarity effect and its absence in the test phase. Overall, the present study provides evidence that 10-month-old infants can segment words embedded in songs, and it raises questions about the acoustic and other factors that enable or hinder infant word segmentation from songs and speech.
|
|
Keyword:
EEG; ERP; familiarity; infant; polarity; recognition; song; speech; word segmentation
|
|
URL: https://doi.org/10.3390/brainsci10010039
|
|
BASE
|
|
Hide details
|
|
|
| 12 |
Not all words are equally acquired: transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Controlling Utterance Length in NMT-based Word Segmentation with Attention
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
MiNgMatch—A Fast N-gram Model for Word Segmentation of the Ainu Language
|
|
|
|
In: Information ; Volume 10 ; Issue 10 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Improving Basic Natural Language Processing Tools for the Ainu Language
|
|
|
|
In: Information ; Volume 10 ; Issue 11 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion
|
|
|
|
In: Applied Sciences ; Volume 9 ; Issue 18 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
How Accurately Do Infants Represent Lexical Stress Information in Recently Segmented Words?
|
|
|
|
In: Masters Theses (2019)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Acoustic Cues Used by Learners of English
|
|
|
|
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2018 Annual Meeting on Phonology ; 2377-3324 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Morphosyntactic disambiguation and segmentation for historical Polish with graph-based conditional random fields
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
|
|
