Call for Submissions
CALL FOR SUBMISSIONSCOLDOC 2024 - Doctoral Colloquium for Young ResearchersMoDyCo UMR 7114 CNRSUniversité Paris NanterreOctober 14th and 15th, 2024"Linguistics in a New Era: Discourse, Methods, and Technologies in the Contemporary Landscape."ColDoc is a biennial international colloquium organized by MoDyCo laboratory (UMR 7114 - CNRS/Université Paris Nanterre) aimed at young researchers and doctoral students in linguistics. For its 15th edition, ColDoc proposes to address an overview of linguistics in a context of technological changes. There are indeed close relationships between linguistics, language data in the broad sense, and new technologies, to the extent that they now seem inseparable. This linkage is of multiple orders and is part of linguistic research. The opening of new fields of study in linguistics has led to the development of tools for the elaboration, collection, and processing of various data. The study of under-resourced or under-described languages, for example, requires the adaptation of natural language processing (NLP) tools, signal processing, or collection of audiophonological data (EGG/EMA/ultrasound), whether for automatic analysis or to assist field linguists (Bird, 2022; Ponti, 2019). Working with large or diverse corpora requires new statistical analysis methods to be representative (Levshina, 2019). Similarly, research in psycholinguistics on topics such as multilingualism, language acquisition and aging (Bogliotti et al., 2017), or pathological language (Zhao et al., 2022), involves behavioral data (tools such as e-Prime, eye movements) and electrophysiological data (EEG/fMRI) to study the various cognitive processes involved in language processing (Peyre & Ramus, 2023). However, technology is not limited to serving as an analytical tool; it also constitutes a vector for language production. New multimodal discourses are generated, take shape, and circulate in digital spaces (such as social networks). At the same time, new discursive genres impose themselves by their centrality in the public and daily debate, highlighting themes such as violence against women (Association Faire Face, 2018; Lapalus, 2015) or the climate emergency (Parrenin & Vargas, 2020). The question of the status of these discourses and their genre then arises (Rakotonoelina & Reboul-Touré, 2020). Finally, with the public availability of large language models, notably through text generation (ChatGPT, Gemini, etc.), but also in other applications such as translation (DeepL, Google Translate, etc.), technological tools become sources of language data and artificial corpora, constituting in turn an object of study (for translation, for example, see Loock, Lechauguette & Holt, 2022). We invite doctoral students and young researchers to propose communications addressing these various questions. Works, regardless of their stage of development, may address new discourses and/or highlight new tools, methodologies, and innovative theoretical frameworks. This diversity of perspectives will allow specialists from different domains or technical backgrounds, such as psycholinguistics, discourse analysis, language modeling, etc., who share a contemporary view of research in linguistics, to meet and exchange ideas. Doctoral students and researchers interested in the subject are invited to submit a communication proposal in Word format of a maximum of 2 pages excluding bibliography (Times New Roman font, font size 12) via the form on the ColDoc website: https://coldoc2024.sciencesconf.org/ · Presentations can be made in the form of oral communications, posters, or demonstrations. · Submission languages are French and English. · Communication proposals must be anonymous. Please also specify whether it is a proposal for an oral communication or a poster. · The submission deadline is set for May 15th, 2024.
References Bird, S. (2022). Local Languages, Third Spaces, and other High-Resource Scenarios. In S.Muresan, P. Nakov, & A. Villavicencio (Éds.), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1 : Long Papers) (p. 7817-7829). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.acl-long.539 Bogliotti, C., Lacheret-Dujour A. & Isel, F. (2017) Atypies langagières de l’enfance à l’âge adulte. Apports de la psycholinguistique et des neurosciences cognitives. De Boeck Supérieur Editions Association Faire Face. (2018). Le traitement médiatique des violences faites aux femmes : Entre instrumentalisation et invisibilisation. GLAD!. Revue sur le langage, le genre, les sexualités, 04, Article 04. https://doi.org/10.4000/glad.1020 Lapalus, M. (2015). Feminicidio / femicidio : les enjeux théoriques et politiques d’un discours définitoire de la violence contre les femmes. Enfances, Familles, Générations, (22), 85–113. https://doi.org/10.7202/1031120ar Levshina, N. (2019). Token-based typology and word order entropy : A study based on Universal Dependencies. Linguistic Typology, 23(3), 533-572. https://doi.org/10.1515/lingty-2019-0025 Loock, R., Léchauguette, S., & Holt, B. (2022). Dealing with the « Elephant in the Classroom» : Developing Language Students’ Machine Translation Literacy. Australian Journal of Applied Linguistics, 5(3), 118-134. Parrenin, F., & Vargas, É. (2020). Biodiversité et changement climatique : Entre discours du spécialiste et discours vulgarisé. Les Carnets du Cediscor. Publication du Centre de recherches sur la didacticité des discours ordinaires, 15, Article 15. https://doi.org/10.4000/cediscor.2817 Paveau, M-A. (2017) L’analyse du discours numérique. Dictionnaire des formes et des pratiques. Hermann. Ponti, E. M., O’Horan, H., Berzak, Y., Vulić, I., Reichart, R., Poibeau, T., Shutova, E., & Korhonen, A. (2020). Modeling Language Variation and Universals : A Survey on Typological Linguistics for Natural Language Processing (arXiv:1807.00914). arXiv. https://doi.org/10.48550/arXiv.1807.00914 Rakotonoelina, F., & Reboul-Touré, S. (2020). Analyse du discours et biodiversité : Pluridisciplinarité, interdisciplinarité et transdisciplinarité. Les Carnets du Cediscor. Publication du Centre de recherches sur la didacticité des discours ordinaires, 15, Article 15. https://doi.org/10.4000/cediscor.3181 Williams, C. M., Peyre, H., & Ramus, F. (2023). Brain volumes, thicknesses, and surface areas as mediators of genetic factors and childhood adversity on intelligence. Cerebral Cortex (New York, N.Y.: 1991), 33(10), 5885-5895. https://doi.org/10.1093/cercor/bhac468 Zhao, J., Song, Z., Zhao, Y., Thiebaut de Schotten, M., Altarelli, I., & Ramus, F. (2022). White matter connectivity in uncinate fasciculus accounts for visual attention span in developmental dyslexia. Neuropsychologia, 177, 108414. https://doi.org/10.1016/j.neuropsychologia.2022.108414 |
| Online user: 2 | Privacy |
|
