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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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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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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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| 4 |
A K-nearest neighbours approach to unsupervised spoken term discovery
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In: IEEE Spoken Language Technology SLT-2018 ; https://hal.archives-ouvertes.fr/hal-01947953 ; IEEE Spoken Language Technology SLT-2018, Dec 2018, Athènes, Greece (2018)
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| 5 |
Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages
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In: Workshop on Computational Research in Phonetics, Phonology, and Morphology ; https://hal.archives-ouvertes.fr/hal-01910757 ; Workshop on Computational Research in Phonetics, Phonology, and Morphology, Oct 2018, Bruxelles, Belgium. pp.32 - 42, ⟨10.18653/v1/P17⟩ (2018)
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| 6 |
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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| 7 |
Exploring Linguistic Constraints in Nlp Applications
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In: Publicly Accessible Penn Dissertations (2014)
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| 8 |
Studying the effect of input size for Bayesian word segmentation on the providence corpus
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| 9 |
Unsupervised morphological parsing of Bengali. Language Resources and Evaluation
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In: http://www.hlt.utdallas.edu/~sajib/LRE.fdf (2006)
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| 10 |
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming
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In: http://www-users.cs.york.ac.uk/~suresh/Homepage/mlj00.ps.gz (2001)
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| 11 |
DISCOVERY FROM PHONEME LATTICES
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In: http://nt.uni-paderborn.de/public/pubs/2014/HeWaHa2014.pdf
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| 12 |
Studying the effect of input size for Bayesian Word Segmentation on the Providence Corpus
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In: http://aclweb.org/anthology/C/C12/C12-1021.pdf
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