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One model for the learning of language.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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Computational Measures of Deceptive Language: Prospects and Issues
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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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Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system
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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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A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
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In: Journal of Open Humanities Data; Vol 8 (2022); 3 ; 2059-481X (2022)
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Using Machine Learning for Pharmacovigilance: A Systematic Review
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In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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Lexica corpus (v2.0) ...
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Abstract:
Second release of the lexica corpus: a corpus for German text simplification, total size now 3270 files. The corpus consists of approximately 3300 texts from three Wiki-based lexica in German language: MiniKlexikon, Klexikon and Wikipedia. The articles in the Wikis are created by volunteers and can be written, discussed, and improved upon collaboratively. Klexikon is aimed specifically at children aged between 6 and 12 and MiniKlexikon is designed for children who are beginner readers, and is therefore an even simpler version of the Klexikon. We make the assumption that the three different sub-corpora represent three different levels of conceptual complexity due to the target groups they are written for: younger children, children and adults. As Wikipedia articles can be extremely long, in comparison to the other two lexica, only the introduction or abstract was taken for this corpus. This repository contains the corpora from the original study (295 texts per sub-corpus in the orig_files folder), extended ...
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Keyword:
automatic text simplification; computational linguistics; text complexity; text simplification
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URL: https://dx.doi.org/10.5281/zenodo.5196029
https://zenodo.org/record/5196029
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Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
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| 12 |
Causal and Semantic Relations in L2 Text Processing: An Eye-Tracking Study
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Nahatame, Shingo. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022
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Phylogenetic trees: Grammar versus vocabulary
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In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 31-50 (2022) (2022)
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French de and en as expressions of the genitive case: a unified analysis within LFG and computational implementation in XLE1
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In: DELTA: Documentação e Estudos em Linguística Teórica e Aplicada; v. 37 n. 1 (2021) ; 1678-460X ; 0102-4450 (2022)
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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351
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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)
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Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars
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In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021)
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Arc-Eager Construction Provides Learning Advantage Beyond Stack Management
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Dialogue Modeling in a Dynamic Framework ; Modélisation dynamique des dialogues
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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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SM to: Is there a bilingual disadvantage for word segmentation? A computational modeling approach ...
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Micropoetry meets Neurocognitive Poetics ... : Influence of Associations on the Reception of Poetry ...
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