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1
One model for the learning of language.
In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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2
Computational Measures of Deceptive Language: Prospects and Issues
In: ISSN: 2297-900X ; EISSN: 2297-900X ; Frontiers in Communication ; https://hal.archives-ouvertes.fr/hal-03629780 ; Frontiers in Communication, Frontiers, 2022, 7, pp.792378. ⟨10.3389/fcomm.2022.792378⟩ (2022)
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3
Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system
In: ISSN: 0394-9370 ; Ethology Ecology and Evolution ; https://hal.inrae.fr/hal-03518874 ; Ethology Ecology and Evolution, Taylor & Francis, 2022, pp.1-17. ⟨10.1080/03949370.2021.2015452⟩ (2022)
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4
A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
In: Journal of Open Humanities Data; Vol 8 (2022); 3 ; 2059-481X (2022)
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5
German Climate Change Tweet Corpus (GerCCT) ...
Schaefer, Robin; Stede, Manfred. - : Zenodo, 2022
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6
German Climate Change Tweet Corpus (GerCCT) ...
Schaefer, Robin; Stede, Manfred. - : Zenodo, 2022
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7
Using Machine Learning for Pharmacovigilance: A Systematic Review
In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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8
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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9
Lexica corpus (v2.0) ...
Hewett, Freya; Stede, Manfred. - : Zenodo, 2022
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10
Lexica corpus (v2.0) ...
Hewett, Freya; Stede, Manfred. - : Zenodo, 2022
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11
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
Crater, David T. - 2022
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12
Causal and Semantic Relations in L2 Text Processing: An Eye-Tracking Study
Nahatame, Shingo. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022
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13
Phylogenetic trees: Grammar versus vocabulary
In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 31-50 (2022) (2022)
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14
French de and en as expressions of the genitive case: a unified analysis within LFG and computational implementation in XLE1
In: DELTA: Documentação e Estudos em Linguística Teórica e Aplicada; v. 37 n. 1 (2021) ; 1678-460X ; 0102-4450 (2022)
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15
Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351
In: Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03507948 ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, Aug 2021, pp.89--138, 2021, 2192-5283. ⟨10.4230/DagRep.11.7.89⟩ ; https://gitlab.com/unlid/dagstuhl-seminar/-/wikis/home (2021)
Abstract: International audience ; Computational linguistics builds models that can usefully process and produce language and that can increase our understanding of linguistic phenomena. From the computational perspective, language data are particularly challenging notably due to their variable degree of idiosyncrasy (unexpected properties shared by few peer objects), and the pervasiveness of non-compositional phenomena such as multiword expressions (whose meaning cannot be straightforwardly deduced from the meanings of their components, e.g. red tape, by and large, to pay a visit and to pull one’s leg) and constructions (conventional associations of forms and meanings). Additionally, if models and methods are to be consistent and valid across languages, they have to face specificities inherent either to particular languages, or to various linguistic traditions.These challenges were addressed by the Dagstuhl Seminar 21351 entitled "Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics", which took place on 30-31 August 2021. Its main goal was to create synergies between three distinct though partly overlapping communities: experts in typology, in cross-lingual morphosyntactic annotation and in multiword expressions. This report documents the program and the outcomes of the seminar. We present the executive summary of the event, reports from the 3 Working Groups and abstracts of individual talks and open problems presented by the participants.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; computational linguistics; idiosyncrasy; language universals; morphosyntax; multiword expressions
URL: https://doi.org/10.4230/DagRep.11.7.89
https://hal.archives-ouvertes.fr/hal-03507948
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16
Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars
Moot, Richard. - : HAL CCSD, 2021
In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021)
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17
Arc-Eager Construction Provides Learning Advantage Beyond Stack Management
Barnett, Phillip A. - : eScholarship, University of California, 2021
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18
Dialogue Modeling in a Dynamic Framework ; Modélisation dynamique des dialogues
Boritchev, Maria. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03541628 ; Computation and Language [cs.CL]. Université de Lorraine; École doctorale IAEM Lorraine - Informatique, Automatique, Électronique - Électrotechnique, Mathématiques de Lorraine, 2021. English. ⟨NNT : 2021LORR0199⟩ (2021)
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19
SM to: Is there a bilingual disadvantage for word segmentation? A computational modeling approach ...
Fibla, Laia. - : Open Science Framework, 2021
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20
Micropoetry meets Neurocognitive Poetics ... : Influence of Associations on the Reception of Poetry ...
Hugentobler, Katharina Gloria; Lüdtke, Jana. - : Freie Universität Berlin, 2021
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