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Strong Learning of Probabilistic Tree Adjoining Grammars
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Consistent unsupervised estimators for anchored PCFGs
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Consistent Unsupervised Estimators for Anchored PCFGs
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In: Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03410673 ; Transactions of the Association for Computational Linguistics, 2020, 8, ⟨10.1162/tacl_a_00323⟩ (2020)
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Consistent Unsupervised Estimators for Anchored PCFGs
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 409-422 (2020) (2020)
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Changing the lexicon of ‘Cardiac Rehabilitation’: a progressive step
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Introduction to the special topic on grammar induction, representation of language and language learning
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Abstract:
Grammar induction refers to the process of learning grammars and languages from data; this finds a variety of applications in syntactic pattern recognition, the modeling of natural language acquisition, data mining and machine translation. This special topic contains several papers presenting some of recent developments in the area of grammar induction and language learning, as applied to various problems in Natural Language Processing, including supervised and unsupervised parsing and statistical machine translation. ; 4 page(s)
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Keyword:
Bayesian inference; Grammar induction; Machine translation; Natural language parsing
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URL: http://hdl.handle.net/1959.14/144999
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Using Contextual Representations to Efficiently Learn Context-Free Languages
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In: ISSN: 1532-4435 ; EISSN: 1533-7928 ; Journal of Machine Learning Research ; https://hal.archives-ouvertes.fr/hal-00607098 ; Journal of Machine Learning Research, Microtome Publishing, 2010, 11, pp.2707-2744 (2010)
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