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France  Anglais  Last update : 07/10/2019     

Marc TANG


Post-doctoral researcher

 04 72 72 65 46

marc.tang@univ-lyon2.fr

Personal webpage

Teams : HELAN2 


  Training and professional background
  Project management
  Teaching
  Main publications and conferences

My academic background is in general linguistics, including topics such as syntax and phonology. I worked in the computer industry (ASUS) before coming back to academia. I developed along the way (and I am also still developing) skills in quantitative computational typology and in linguistics to investigate and/or develop existing linguistic hypotheses in terms of synchrony and diachrony. For more details, please refer to my personal webpage (link above).


TRAINING AND PROFESSIONAL BACKGROUND


 

Professional background

  • 2019 – present: Postdoctoral Researcher. DDL (Dynamics of Language) lab of University Lumière Lyon 2, France. (80% research - 20% Teaching/Supervision)
  • 2019 – 2019: Ph.D. Researcher. Department of Linguistics and Philology, Uppsala University, Sweden. (80% research - 20% teaching, 6 months funded contract)
  • 2016 – 2019: Ph.D. Student. Department of Linguistics and Philology, Uppsala University, Sweden. (80% research- 20% teaching, full-time funded working contract) Defence completed on the 9th of March 2019.
  • 2013 – 2015: French Instructor. Chinese Institute of European Languages, Taiwan. (Group courses 5-20 members, 30 hours/week, level A1-C2)
  • 2014 – 2015: Interpreter. International Cooperation and Development Fund, Taiwan. (French/Chinese/Arabic/English interpreter at international events)
  • 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)
Training
  • 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.
Skills
  • Languages: French (Native), Chinese (Native), English (TOEIC 990/990), Arabic (CEFR B1), Swedish (Swedish for Academics Level 3).
  • Quantitative methods: Bayesian Phylogenetic Inference (BayesTraits, MrBayes, BEAST), Classification and Regression (Random Forests, Neural Networks, Support Vector Machines), Word embeddings (GloVe, word2vec, fast-Text), Computational Linguistics (Word segmentation, POS tagging, Dependency parsing), Web data harvesting (Docker, Selenium).
  • Computer: Programming language R and Python, Operating systems Linux, Mac, and Windows, LATEX.
  • Geography: Leaflet, QGIS, Google Fusion Table.
  • Linguistics: CLAN (Computerized Language Analysis), ELAN (EUDICO Linguistic Annotator), Praat, Toolbox, Treeform.

 

PROJECT MANAGEMENT


 

  • FIELDLING (Funded international school in linguistic fieldwork) - Principal coordinator. FieldLing has been organised on a yearly basis since 2010 (involved units related to the CNRS: LLACAN, SEDYL, LACITO, INALCO, PARIS 3, LABEX EFL). It is at present the only regular (and free) intensive training program in France preparing students to study theories, methods, and the use of technological tools for language description through fieldwork. Link
  • GIS FOR LANGUAGE STUDY (Funded research environment, Uppsala University) - Principal coordinator. This project of Alexandra Petrulevich (Uppsala University) undertakes a series of seminars and workshops from 2017 to 2019 to explore the analytical tools provided by Geographic Information Systems such as QGIS, thereby giving the faculty's research on location-based materials a lift. Link

 

TEACHING


 

Linguistics

  • 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. Link
  • 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. Link
  • 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. Link
Quantitative methods
  • 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. Link
  • 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. Link
Language courses
  • 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. Link

 

MAIN PUBLICATIONS AND CONFERENCES
SHOW LONG VERSION / SHORT VERSION


Books
 

Tang, M., 2019, "A typology of classifiers and gender: From description to computation", Uppsala, Acta Universitatis Upsaliensis (ISBN: 978-91-513-0507-3)


Chapters in books
 

Tang, M. & Wan, I.P., 2019, "Predicting speech errors in Mandarin based on word frequency", in From minimal contrast to meaning construct, Qu, S. & Zhan, W. (eds), Singapore, Springer, pp. 289-303 (doi.org/10.1007/978-981-32-9240-6_20)


 

Basirat, A. & Tang, M., 2019, "Linguistic information in word embeddings", in Agents and artificial intelligence, van den Herik, J. & Rocha, A. (eds), Cham, Springer, pp. 492-513 (doi.org/10.1007/978-3-030-05453-3_23)


Journals
 

Her, O.S., Tang, M. & Li, B.T., 2019, "Word order of numeral classifiers and numeral bases: Harmonization by multiplication", Language Typology and Universals, 72:3, pp. 421-452 (doi.org/10.1515/stuf-2019-0017)


 

Tang, M. & Her, O.S., 2019, "Insights on the Greenberg-Sanches-Slobin generalization: Quantitative typological data on classifiers and plural markers", Folia Linguistica, 53:2, pp. 297-331 (https://doi.org/10.1515/flin-2019-2013)


 

Her, O.S. & Tang, M., 2018, "A statistical explanation of the distribution of sortal classifiers in languages of the world via computational classifiers", Journal of Quantitative Linguistics, 25, pp. 1-21 (doi.org/10.1080/09296174.2018.1523777)


 

Eliasson, P. & Tang, M., 2018, "The lexical and discourse functions of grammatical gender in Marathi", Journal of South Asian Languages and Linguistics, 5:2, pp. 131-157 (doi.org/10.1515/jsall-2018-0012)


 

Tang, M., 2018, "The diachrony of classification systems [by William B. McGregor & Søren Wichmann (review)] ", Linguistic Variation, 19:2 (doi.org/10.1075/lv.00012.tan)




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