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He Said, She Said: A Critical Content Analysis of Sexist language used in Disney’s The Little Mermaid (1989) and Mulan (1998)
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In: Journal of International Women's Studies (2022)
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Efficient localization of the cortical language network and its functional neuroanatomy in dyslexia
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“We just do us”: Exploring the Language Use and Cultural Identity of Intercultural Couples in Auckland
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[Rezension zu:] Grund und Grenze des Verstehens : Theologie und Hermeneutik im Anschluss an Friedrich Schleiermacher / Florian Priesemuth. - Berlin: De Gruyter, 2020 (Schleiermacher-Archiv ; 32)
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Indigenous Language Revitalization: Success, Sustainability, and the Future of Human Culture
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In: Capstone Showcase (2022)
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Meaning as founder effect in the prehistory of speech
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In: https://halshs.archives-ouvertes.fr/halshs-03632943 ; 2022 (2022)
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Cultural Evolution of Precise and Agreed‐Upon Semantic Conventions in a Multiplayer Gaming App
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://jeannicod.ccsd.cnrs.fr/ijn_03636720 ; Cognitive Science, Wiley, 2022, 46 (2), ⟨10.1111/cogs.13113⟩ (2022)
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New Version of a Translater for a Natural Language Study
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In: https://hal.archives-ouvertes.fr/hal-03551680 ; 2022 (2022)
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The genetic architecture of the human language connectome ; L'architecture génétique du connectome du langage dans le cerveau humain
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In: https://tel.archives-ouvertes.fr/tel-03649334 ; Neuroscience. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST019⟩ (2022)
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A Translater from Latex Trees to Coq Trees for a Natural Language Study
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In: https://hal.archives-ouvertes.fr/hal-03536652 ; 2022 (2022)
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The slíbhín and the créatúr: an examination of the lived experiences of regional or minority language users within the criminal justice System
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In: McEvoy, Géaróidín (2022) The slíbhín and the créatúr: an examination of the lived experiences of regional or minority language users within the criminal justice System. PhD thesis, Dublin City University. (2022)
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How much context span is enough? Examining context-related issues for document-level MT
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In: Castilho, Sheila orcid:0000-0002-8416-6555 (2022) How much context span is enough? Examining context-related issues for document-level MT. In: 13th Language Resources and Evaluation Conference, 21-23 June 2022, Marseille, France. (In Press) (2022)
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Same Language, Different Diet. Dynamics and Rhythms of Change in Ancient Ilduro (Cabrera De Mar, Barcelona) Based on Epigraphic and Faunal Evidence
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What Happens in English Class Doesn’t Stay in English Class: How College Writers Remember, Story, and Inhabit the Past in the Present
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Understanding the Learning Experiences of Highly Educated refugees from Iraq and Syria en route to Economic Integration in Luxembourg
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National Languages, Multilingual Education, and the Self-proclaimed "Militants" for Change in Senegal
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Exploring the Learning Experiences of Study Abroad Participants
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Energy Conservation Theory for Second Language Acquisition (Ect-l2a): A Partial Validation of Kinetic Energy– Aptitude and Motivation
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From FreEM to D'AlemBERT ; From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French
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In: Proceedings of the 13th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-03596653 ; Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, Jun 2022, Marseille, France (2022)
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Abstract:
8 pages, 2 figures, 4 tables ; International audience ; Language models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historical states are at the same time more complex to process and more scarce in the corpora available, specific efforts are necessary to train natural language processing (NLP) tools adapted to the data. In this paper, we present our efforts to develop NLP tools for Early Modern French (historical French from the 16th to the 18th centuries). We present the FreEMmax corpus of Early Modern French and D'AlemBERT, a RoBERTa-based language model trained on FreEMmax. We evaluate the usefulness of D'AlemBERT by fine-tuning it on a part-of-speech tagging task, outperforming previous work on the test set. Importantly, we find evidence for the transfer learning capacity of the language model, since its performance on lesser-resourced time periods appears to have been boosted by the more resourced ones. We release D'AlemBERT and the open-sourced subpart of the FreEMmax corpus.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Corpus creation; Création de corpus; Digital humanities; Early Modern French; Français classique; Humanités Numériques; Language modelling; Langues peu dotées; Less-resourced languages; Modèle de langue neuronal; Modélisation linguistique; Neural language representation models; Partie du discours; POS tagging
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URL: https://hal.inria.fr/hal-03596653
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Integrating a Phrase Structure Corpus Grammar and a Lexical-Semantic Network: the HOLINET Knowledge Graph
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In: Proceedings of LREC 2022 ; https://hal-amu.archives-ouvertes.fr/hal-03655636 ; Proceedings of LREC 2022, Jun 2022, Marseille, France (2022)
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