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1
Annoter et prédire des représentations linguistiques de phrases
Candito, Marie. - : HAL CCSD, 2022
In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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2
Pseudorelatives: Parsing Preferences and their Natural Concealment
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3
Morphological Parsing in Tagalog: A Masked Priming Study on Infixation, Prefixation, and Suffixation ...
Cayado, Dave. - : Open Science Framework, 2022
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4
An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records
In: Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25 (2022)
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5
Segmental and Prosodic Evidence for Property-by-Property Transfer in L3 English in Northern Africa
In: Languages; Volume 7; Issue 1; Pages: 28 (2022)
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6
Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG
In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022)
Abstract: HPSG is a lexicalist grammatical theory that proposes the parallel formalization of morphosyntactic and semantic structures. This work describes the computational implementation of verbal valences in a new Portuguese grammar in this formalism. This grammar is relevant not only for text understanding applications, but also represents a contribution to the formal documentation of the structures of the language, standing out for its treatment of control and raising constructions. The grammar has been incrementally implemented through its application to increasingly comprehensive test suites. With 278 entries and a total of 215 lemmas, the verb lexicon is still small. However, the proposed type hierarchy models the properties of 118 valence classes, of which 57 are types that encode verb classes. The grammar analyzes 94% of a total of 581 grammatical sentences, while showing low hypergeneration in a set of 167 ungrammatical examples. ; A HPSG é uma teoria gramatical lexicalista que propõe a formalização em paralelo das estruturas morfossintáticas e semânticas. Este trabalho descreve a implementação computacional de valências verbais numa nova gramática do português nesse formalismo. Essa gramática é relevante não somente para aplicações de compreensão textual, mas representa também uma contribuição à documentação formal das estruturas da língua, destacando-se pelo tratamento das construções de controle e alçamento. A gramática tem sido implementada incrementalmente por meio da sua aplicação a conjuntos de teste cada vez mais abrangentes. Com 278 entradas e um total de 215 lemas, o léxico verbal ainda é pequeno. No entanto, a hierarquia de tipos proposta modela as propriedades de 118 classes valenciais, das quais 57 são tipos que codificam classes de verbos. A gramática analisa 94% de um total de 581 sentenças gramaticais, apresentando, ao mesmo tempo, baixa hipergeração em um conjunto de 167 exemplos agramaticais.
Keyword: Análise sintática automática; Computational linguistics; Computational semantics; Engenharia da gramática; Grammar engineering; Linguística computacional; Semântica computacional; Syntactic parsing; Valence; Valência
URL: https://seer.ufu.br/index.php/dominiosdelinguagem/article/view/64132
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7
PFN-PT: a Framenet annotator for Portuguese ; Anotação semântica automática: um novo Framenet para o português
In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022)
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8
Multitask Pointer Network for Multi-Representational Parsing
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9
Joint learning of morphology and syntax with cross-level contextual information flow
In: 2022 ; 1 ; 33 (2022)
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10
Evaluating Structural Economy Claims in Relative Clause Attachment
In: Proceedings of the Society for Computation in Linguistics (2022)
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11
Parsing Early Modern English for Linguistic Search
In: Proceedings of the Society for Computation in Linguistics (2022)
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12
Deep learning and linguistic representation
Lappin, Shalom. - New York : CRC Press, Taylor & Francis Group, 2021
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UB Frankfurt Linguistik
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13
Shallow discourse parsing for German
Stede, Manfred (Akademischer Betreuer); Bourgonje, Peter; Kosseim, Leila (Akademischer Betreuer). - Potsdam, 2021
BLLDB
UB Frankfurt Linguistik
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14
Analyse en dépendances du français avec des plongements contextualisés
In: 28e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03223424 ; 28e Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2021, Lille (virtuel), France (2021)
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15
COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021)
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16
Neuro-computational models of language processing
In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021)
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17
To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children ...
Lassotta, Romy. - : Université de Genève, 2021
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18
IWPT 2021 Shared Task Data and System Outputs
Zeman, Daniel; Bouma, Gosse; Seddah, Djamé. - : Universal Dependencies Consortium, 2021
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19
Training corpus ssj500k 2.3
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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20
Spanish is not different ; On the universality of minimal structure and locality principles
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