Training and professional background
Project management
Teaching
Main publications and conferences
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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).
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TRAINING AND PROFESSIONAL BACKGROUND
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| Professional background
- 2021 – : Chargé de recherche.
Laboratoire EA (Éco-anthropologie, UMR 7206) at the CNRS/ Muséum National d’Histoire Naturelle/ Université Paris Cité, France.
- 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)
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| 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.
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| 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.
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PROJECT MANAGEMENT
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| EVOGRAM: The role of linguistic and non-linguistic factors in the evolution of nominal classification systems - Junior Researcher Grant (ANR-JCJC) funded by the French National Research Agency (ANR-20-CE27-0021, 166 936 euros) - Principal Investigator. This two-year project (2021-2023) aims at building a database on nominal classification systems to identify the factors affecting their evolution. Link |
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| RELI: Recherche En Linguistique Illustrée [Research In Linguistics Illustrated] - Project funded by the Labex ASLAN (6000 euros) - Principal Investigator. This one-year project (2020-2021) contributes to the valorization of science by popularizing research of the ASLAN laboratories in Lyon in the form of short comics and comic strips. Link |
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| 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
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| 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. Lien |
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TEACHING
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| 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
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| 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
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| 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
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MAIN PUBLICATIONS AND CONFERENCES
LONG VERSION / SHOW SHORT VERSION
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Books
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Tang, M., 2019, "A typology of classifiers and gender: From description to computation", Uppsala, Acta Universitatis Upsaliensis (ISBN: 978-91-513-0507-3)
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Chapters in books
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Kilarski, M. & Tang, M., 2021, "Classifiers in Morphology", in Oxford Research Encyclopedia of Linguistics, Aronoff, M. (ed), Oxford, Oxford University Press, pp. 1-28 (doi.org/10.1093/acrefore/9780199384655.013.546)
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Vittrant, A. & Tang, M., 2021, "Classifiers in Southeast Asian Languages", in The Languages and Linguistics of Mainland Southeast Asia: A comprehensive guide, Sidwell, P. & Mathias, J. (eds), Berlin, Mouton de Gruyter, pp. 733-772 (doi.org/10.1515/9783110558142-031)
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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)
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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)
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Journals
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Parajuli, K. & Tang, M., 2023, "A corpus-based quantitative study of numeral classifiers in Nepali", Corpus Linguistics and Linguistic Theory, ahead of print (doi: 10.1515/cllt-2022-0064)
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Ulrich, N., Pellegrino, F. & Tang, M., 2023, "Intra- and inter-speaker variation in eight Russian fricatives", The Journal of the Acoustical Society of America, 153:4, pp. 2285-2297 (doi.org/10.1121/10.0017827)
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Hutin, M. & Tang, M., 2023, "L’apport des données participatives pour l’étude linguistique des français du monde : le cas de l’opposition /a∼ɑ/", Journal of French Language Studies, 2023, pp. 1-24 (doi: 10.1017/S0959269523000200)
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Levshina, N., Namboodiripad, S., Tang, M., Kramer, M., Talamo, L., Verkerk, A., Wilmoth, S., Rodriguez, G., Gupton, T., Kidd, E., Liu, Z., Naccarato, C., Nordlinger, R., Panova, A. & Stoynova, N., 2023, "Why we need a gradient approach to word order", Linguistics, 61:4, pp. 825-883 (doi: 10.1515/ling-2021-0098)
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Tang, M., Gao, Z.L., Chen, S.A. & Her, O.S., 2023, "Phylogenetic analyses for the origin of sortal classifiers in Mongolic, Tungusic, and Turkic languages", Concentric, 49:2, pp. 295-315 (doi: 10.1075/consl.00031.her)
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Her, O.S., Tsai, J.W. & Tang, M., 2022, "On Taiwan universities' two-one academic dismissal policies: A quantitative fairness analysis of NCCU's four policies", Journal of Educational Research and Development, 18:4, pp. 79-112 (doi: 10.6925/SCJ.202212\_18(4).0003)
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Wichers Schreur, J., Tang, M., Bellamy, K. & Rochant, N., 2022, "Predicting grammatical gender in Nakh languages: Three methods compared", Linguistic Typology at the Crossroads, 2:2, pp. 93–126 (doi: 10.6092/issn.2785-0943/14545)
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Her, O.S., Hammarström, H. & Tang, M., 2022, "Defining numeral classifiers and identifying classifier languages of the world", Linguistics Vanguard, 8:1, pp. 151-164 (doi: 10.1515/lingvan-2022-0006)
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Quint, N. & Tang, M., 2022, "Inferring case paradigms in Koalib with computational classifiers", Corpus Linguistics and Linguistic Theory, ahead of print (doi: 10.1515/cllt-2021-0028)
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Hutin, M. & Tang, M., 2022, "Operation LiLi: Using Crowd-Sourced Data and Automatic Alignment to Investigate the Phonetics and Phonology of Less-Resourced Languages", Languages, 7:3, pp. 234 (doi: 10.3390/languages7030234)
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Tang, M., Robert, S. & Voisin, S., 2022, "The noncausal/causal alternation and genealogical affiliation: Quantitative testing in three Niger-Congo language families", Linguistique et Langues Africaines , 8:2, pp. 1-20 (Lien)
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Tang, M., Chen, Y.C., Yen, N.S. & Her, O.S., 2021, "Investigating the branching of Chinese classifier phrases: Evidence from speech perception and production", Journal of Chinese Linguistics, 49:1, pp. 71-105 (doi.org/10.1353/jcl.2017.0082)
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Easterday, S., Stave, M., Tang, M. & Seifart, F., 2021, "Syllable complexity and morphological synthesis: A well-motivated positive complexity correlation across subdomains", Frontiers in Psychology, 12, pp. 583 (doi.org/10.3389/fpsyg.2021.638659)
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Basirat, A., Tang, M. & Berdicevskis, A., 2021, "An empirical study on the contribution of formal and semantic features to the grammatical gender of nouns", Linguistics Vanguard, 7:1, pp. 20200048 (doi.org/10.1515/lingvan-2020-0048)
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Grant, P., Sebastian, R., Tang, M. & Cosemans, S., 2021, "Topic modelling on archive documents from the 1970s: Global policies on refugees", Digital Scholarship in the Humanities, Advance articles, pp. 1-22 (doi.org/10.1093/llc/fqab018)
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Lemus Serrano, M., Tang, M. & Dediu, D., 2021, "What conditions tone paradigms in Yukuna: Phonological and machine learning approaches", Glossa: A journal of general linguistics, 6:1, pp. 1-22 (doi.org/10.5334/gjgl.1276)
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Josserand, M., Tang, M., Pellegrino, F. & Dediu, D., 2021, "Interindividual variation refuses to go away: A Bayesian computer model of language change in communicative networks", Frontiers in Psychology, 12, pp. 2176 (doi.org/10.3389/fpsyg.2021.626118)
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Wan, I.P. & Tang, M., 2021, "A corpus study of lexical speech errors in Mandarin", Taiwan Journal of Linguistics, 19:2, pp. 87-120 (doi.org/10.6519/TJL.202107_19(2).0003)
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Ulrich, N., Tang, M., Pellegrino, F. & Dediu, D., 2021, "Identifying the Russian voiceless non-palatalized fricatives /f/, /s/, and /ʃ/ from acoustic cues using machine learning", The Journal of the Acoustical Society of America, 150:3, pp. 1806-1820 (doi.org/10.1121/10.0005950)
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Tang, M., Lundgren, O., Robbers, M., Cronhamn, S., Larsson, F., Her, O.S., Hammarström, H. & Carling, G., 2021, "Expansion by migration and diffusion by contact is a source to the global diversity of linguistic nominal categorization systems", Humanities & Social Sciences Communications, 8:331 (doi.org/10.1057/s41599-021-01003-5)
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Tang, M., Brown, D. & Fedden, S., 2021, "Testing semantic dominance in Mian gender: Three machine learning models", Oceanic Linguistics, 60:2, pp. 302-334 (doi.org/10.1353/ol.2021.0018)
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Her, O.S. & Tang, M., 2020, "A statistical explanation of the distribution of sortal classifiers in languages of the world via computational classifiers", Journal of Quantitative Linguistics, 27:2, pp. 93-113 (doi.org/10.1080/09296174.2018.1523777)
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Tang, M., 2020, "A simple introduction to programming and statistics with decision trees in R", Teaching Statistics, 42:2, pp. 36-40 (doi.org/10.1111/test.12210)
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Tang, M. & Kilarski, M., 2020, "Functions of gender and numeral classifiers in Nepali", Poznan Studies in Contemporary Linguistics, 56:1, pp. 113-168 (doi.org/10.1515/psicl-2020-0004)
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Tang, M. & Her, O.S., 2020, "Numeral base, numeral classifier, and noun: Word order harmonization", Language and Linguistics, 21:4, pp. 511-556 (doi.org/10.1075/lali.00069.all)
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Tang, M. & Dunn, M., 2020, "The evolutionary trends of grammatical gender in Indo-Aryan languages", Language Dynamics and Change, 11:2, pp. 211-240 (doi.org/10.1163/22105832-bja10011)
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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)
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Tang, M., 2019, "The diachrony of classification systems [by William B. McGregor & Søren Wichmann (review)]
", Linguistic Variation, 19:2, pp. 386-392 (doi.org/10.1075/lv.00012.tan)
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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)
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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)
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Tang, M., 2018, "The dynamics of nominal classification: Productive and lexicalised uses of gender agreement in Mawng [by Ruth Singer (review)]", Oceanic Linguistics, 57:1, pp. 255-260 (doi.org/10.1353/ol.2018.0010)
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Tang, M., 2017, "Explaining the acquisition order of classifiers and measure words via their mathematical complexity", Journal of Child Language Acquisition and Development, 5:1, pp. 31-52 |
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Conferences with proceedings
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Hammarström, H., Her, O.S. & Tang, M., 2021, "Term spotting: A quick-and-dirty method for extracting typological features of language from grammatical descriptions", proc. of Swedish Language Technology Conference, Online, November 25–27, pp. 27-34 (Lien)
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Veeman, H., Tang, M., Berdicevskis, A. & Basirat, A., 2020, "Cross-lingual embeddings reveal universal and lineage-specific patterns in grammatical gender assignment", proc. of the 24th Conference on Computational Natural Language Learning (CoNLL), Online, November 19-20, pp. 265-275 (doi.org/10.18653/v1/P17)
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Basirat, A. & Tang, M., 2018, "Lexical and Morpho-syntactic Features in Word Embeddings: A Case Study of Nouns in Swedish", proc. of 10th International Conference on Agents and Artificial Intelligence, Madeira, Portugal, January 16-18, Scite Press, pp. 663-674 (10.5220/0006729606630674)
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Kilarski, M. & Tang, M., 2018, "The coalescence of grammatical gender and numeral classifiers in the general classifier wota in Nepali", proc. of the Linguistic Society of America annual meeting, Salt Lake City, January 4-7, LSA, 3/56, pp. 1-10 (10.3765/plsa.v3i1.4352)
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