ALLASSONNIÈRE-TANG Marc

PARCOURS PROFESSIONNEL

• 2021 – present: CNRS Researcher. EA (Ecological Anthropology, UMR 7206) lab at the Muséum National d’Histoire Naturelle (MNHN) in Paris, France.
• 2019 – 2021: Postdoctoral Researcher. DDL (Dynamics of Language) lab of University Lumière Lyon 2, France. (80% research - 20% Teaching/Supervision).
• 2016 – 2019: Ph.D. Student. Department of Linguistics and Philology, Uppsala University, Sweden. (80% research- 20% teaching, full-time funded working contract).
• 2013 – 2015: French Instructor. Chinese Institute of European Languages, Taiwan. (Group courses 5-20 members, 30 hours/week, level A1-C2).
• 2013 – 2015: Research Assistant. Syntax/Phonology lab, National ChengChi University, Taiwan. (Experiment design, database maintenance, and data analysis)
• 2011 – 2012: Product Manager. North Africa division, Asustek Computer, Taiwan. (Product planning, sales and marketing for notebooks and tablets)

FORMATION

• 2016 – 2019: Ph.D. in linguistics, Uppsala University, Sweden/ National Institute of Oriental Languages and Civilizations, France.
  Thesis: A typology of classifiers and gender: From description to computation.
• 2013 – 2015: M.A. in linguistics, National ChengChi University, Taiwan.
  Thesis: A GIS typological analysis of the convergence and divergence among numeral classifier, genders and plural markers in the world’s languages.
• 2006 – 2011: B.A. in Diplomacy/Arabic Language and Literature (double major), National ChengChi University, Taiwan.

COMPÉTENCES

• Languages: French (Native), Chinese (Native), English (TOEIC 990/990), Arabic (CEFR B1), Swedish (CEFR B1).
• Data visualization and analysis: The R tidyverse and its extensions, classification and regression (Generalized Linear Mixed Models, Random Forests, Neural
  Networks, Support Vector Machines), clustering methods, QGIS.
• Natural Language Processing: Stylometry, topic modelling, word embeddings (GloVe, word2vec, fastText), text processing (Word segmentation, POS tagging, dependency parsing), web data harvesting (Docker, Selenium).
• Computational methods: Bayesian phylogenetic inference (BayesTraits, MrBayes, BEAST), Bayesian agent-based modelling with network analysis.
• Linguistics: CLAN (Computerized Language Analysis), ELAN (EUDICO Linguistic Annotator), Praat, Toolbox, VTL (VocalTractLab).
• Computer: Programming language R and Python, Operating systems Linux, Mac, and Windows, LATEX.

ENSEIGNEMENTS

Linguistique

• Fieldwork practice session with native speakers: Linguistic summer school teaching module, HT19 (International School in Linguistic Fieldwork, Paris). Instructor for 2-hour daily sessions on planning and conducting fieldwork during a week.
• Current Research in Linguistics: Undergraduate course VT19 (Department of Linguistics and Philology, Uppsala University). Instructor in charge of the full course. The students learn qualitative and quantitative methods to develop and test linguistic hypotheses.
• Cognitive Linguistics: Undergraduate course VT19 (Department of Linguistics and Philology, Uppsala University). Instructor in charge of the full course. This course provides basic theoretical and methodological knowledge in the area of cognitive linguistics.

Méthodes quantitatives

• Visualisation and Statistics: Postgraduate course HT18 (Faculty of Languages, Uppsala University). Instructor for weekly two-hour lab sessions of R programming in data visualization an statistical analysis.
• An Introduction to Random Forests in R: Postgraduate teaching module, VT18 (Department of Linguistics and Philology, Uppsala University). Instructor for 90-minute sessions to the computational classifier of random forests.

Cours de langues

• French: High school/University group courses 2013HT- 2015VT (Chinese Institute of European Languages). Instructor for group courses (A1-C2 levels). The teaching involved conversation, writing, grammar courses, and preparation for the DELF diplomas.