Training Notice | 2026 Summer Workshop Series of the Institute of Language Sciences – Notice No. 1

The Institute of Language Sciences continues to uphold the spirit of scientific research innovation, fully leveraging the advantages of language research at Shanghai International Studies University (SISU) to engage with the frontiers of contemporary language science and promote its advancement.

The Institute currently has an international faculty of 39 full-time teaching and research staff, including 19 professors/researchers (of whom 4 are international experts), 10 associate professors/associate researchers (of whom 3 are international experts), and 9 lecturers/assistant researchers. In addition, the Institute has appointed several distinguished scholars from both China and abroad as adjunct/visiting researchers. The Institute boasts 2 Changjiang Scholars, 1 recipient of the “Ten Thousand Talents Program” for Young Top-Notch Talents, 4 Elsevier China Highly Cited Scholars, and 4 editors-in-chief or associate editors of SSCI/A&HCI journals. Furthermore, the Institute’s “Language Data Science and Applications” faculty team has been selected for the Ministry of Education’s third batch of “National University Huang Danian-style Teacher Teams.”

The corpus research team led by Professor Hu Kaibao actively conducts corpus-related research while promoting academic exchange in corpus research and applications. Since its first National Summer Workshop on Corpus Translation Studies in 2012, the team has consistently organized corpus research and application training activities annually for over a decade, receiving positive social feedback and a strong reputation for training.

To further promote the application of corpora in foreign language teaching, research, and other related fields, and to strengthen academic exchange in this area, the Institute of Language Sciences at SISU regularly organizes a series of summer workshops on language science each year.

In 2026, the Institute will launch higher-quality training activities in a blended format combining online and offline participation. The workshops will combine expert lectures, case discussions, and hands-on practice for participants. Starting with research methods, the workshops will cover the construction and application of corpora, methods and applications of large language models in language research, translation studies, and literary studies, as well as the practical implementation of language science methods, exploring the application pathways of corpora in different fields. The goal is to enhance the ability of foreign language teachers, students, and scholars to use corpora in their foreign language research.

1. Summer Workshop Series Schedule

PART/01 Workshop on Language Science Methods Research and Practice

Course Content:
This training rejects superficial theoretical indoctrination and adopts real research scenario reconstruction as its core design logic. Technically intensive: It covers three golden tools of language research – eye-tracking, EEG, and R statistics – from equipment principles to operational details. Practice-oriented: Each technology module includes a three-step process of laboratory observation – data collection – analysis exercise. For example, in the eye-tracking course, participants will personally experience reading experiments, collect and analyze data. This course will guide participants through hands-on experience with common software packages used in psycholinguistic research, including the experimental programming software PsychoPy, the EEG data preprocessing module MNE, and the linear mixed-effects model package lme4.

• Day 1: Focuses on fundamentals of research design and PsychoPy experimental programming, covering experimental design and cutting-edge techniques in psycholinguistics/neurolinguistics, as well as PsychoPy experimental programming.

• Day 2: Statistical testing practice (based on R) and eye-tracking experimental techniques, covering basic statistical hypothesis testing, introduction to eye-tracking methods, eye-tracking project practice (including laboratory observation), eye-tracking data processing, and academic writing.

• Day 3: Advanced statistical modeling (based on R) and EEG experimental techniques, covering implementation of multivariate statistical models in R, introduction to EEG techniques, EEG project practice (including laboratory observation), EEG data processing, and academic writing.

Detailed Course Schedule:

• Training Time: July 13–15, 2026

• Training Experts: Professor Jiang Xiaoming, Assistant Researcher Zhang Wenshuo, Assistant Researcher Fu Yang

• Training Location: Offline (Lecture Hall 136, Teaching Building No. 5, Songjiang Campus, SISU) + Online (Tencent Meeting)

• Registration Method: Online registration and payment

• Registration Period: May 1 – July 13, 2026

Fee Structure:

PART/02 Workshop on the Micro-Program in Language Data Science

Micro-Program Introduction:
The “Language Data Science” micro-program is supported by the Language Data Science and Applications program at the Institute of Language Sciences, SISU. Established as a new discipline at the Institute in 2020, Language Data Science and Applications aligns, on the one hand, with the Ministry of Education’s New Liberal Arts development strategy and the contemporary trend toward interdisciplinary research, and on the other hand, actively responds to the national major development strategy for artificial intelligence by cultivating high-level talent in the field of language intelligence.

Language Data Science and Applications is an emerging interdisciplinary discipline based on information science, statistics, linguistics, and translation studies. It aims to study the various types, states, attributes, and patterns of change in language data, in order to reveal the underlying patterns of human language and language behavior, and to explore the application of language data in smart education and artificial intelligence. Based on the application of corpora and databases, this discipline conducts language data-driven research in language studies, translation studies, smart education, and artificial intelligence, thereby achieving an organic integration of data science with research in linguistics, translation studies, smart education, and language intelligence. It maximizes the revelation and explanation of the nature of language and translation, and promotes the application of language data in fields such as smart education and language intelligence.

The series of “Language Data Science” courses offered by the Institute of Language Sciences at SISU covers linguistic theory, corpus construction, computational linguistics, programming, and data development. The curriculum is comprehensive and holds strong disciplinary advantages compared to similar courses at universities nationwide.

The “Language Data Science” micro-program requires students to master linguistic theory and knowledge, language database construction and application, natural language processing, and other professional knowledge and techniques upon graduation, as well as to have the ability to apply this knowledge and these techniques to solve problems in linguistics and natural language processing.

Detailed Course Schedule:

• Training Time: July 16–30, 2026

• Training Format: Offline (Lecture Hall 136, Teaching Building No. 5, Songjiang Campus, SISU) + Online (Tencent Meeting)

• Registration Method: Online payment

• Registration Period: May 1 – July 29, 2026

Fee Structure:

Note: Lunch will be provided during offline training.

2. Registration and Payment

01 Online Payment

Individual scan-to-pay: Please accurately fill in your personal information and payment details (ensure all information is correct, as it cannot be modified later).

• QR code for Workshop on Language Science Methods Research and Practice (Image)

• QR code for Workshop on Micro-Program in Language Data Science (Image)

Participants should enter the corresponding fee amount based on the workshop type and indicate the workshop name in the “Remarks” section.

02 Remittance Payment

Group/remittance registration: Please add Teacher Zhang on WeChat (18061256876) to confirm group/remittance registration information before registering. Payment should be made via bank transfer, with the following information included in the transfer remarks: Institution + Number of participants (individual applicants should provide their full name) + Workshop type. The remittance account information is as follows:

【Important Notes】

1. For group registration, please have the responsible teacher contact Teacher Zhang on WeChat (18061256876) in advance to submit the relevant group registration information. (Institutional registration qualifies for additional discounts.)

2. Before the workshop begins, participants who are unable to continue due to legitimate reasons may withdraw and request a refund. Once the workshop has officially started, participants who are unable to continue will be considered to have voluntarily withdrawn, and no refunds will be issued.

3. As SISU faculty and students cannot receive an invoice from their own university, please contact Teacher Zhang to confirm the specific registration and payment method if reimbursement is required.

4. After successful registration, please add Teacher Zhang on WeChat (18061256876) to be invited to the group. Please include your full name and the workshop you registered for as a note when adding.

3. Registration Deadlines

• Registration for Workshop on Language Science Methods Research and Practice: May 1 – July 13, 2026

• Registration for Workshop on Micro-Program in Language Data Science: May 1 – July 29, 2026

4. Important Reminders

1. This workshop series will be offered in a blended online and offline format. The online platform will be Tencent Meeting. Please download the “Tencent Meeting” application on your mobile device or computer and register as a user in advance.

2. During the workshops, SISU will provide invoicing services and training services.

3. A certificate of completion will be issued by the organizer with an official stamp.

5. Contact Information

Teacher Zhang, Institute of Language Sciences, SISU: 18061256876

6. Expert Faculty

Lei Lei, Ph.D. in Literature, Professor and Doctoral Supervisor at the Institute of Language Sciences, SISU. Research interests include corpus linguistics, digital humanities in language, academic English, and quantitative linguistics. Has published multiple monographs with Cambridge University Press, TESOL Press, and Science Press. Has published nearly 40 research articles and over 10 book reviews in SSCI journals such as Applied Linguistics, Language Teaching, International Journal of Corpus Linguistics, and System, two of which are ESI Highly Cited Papers; also published over 10 articles or book reviews in CSSCI journals including Modern Foreign Languages, Foreign Languages, and Journal of PLA University of Foreign Languages. Has led and completed multiple research projects including the National Social Science Fund of China. Serves on the editorial board of Journal of English for Academic Purposes (SSCI) and other domestic and international journals.

Jiang Xiaoming, Professor and Doctoral Supervisor at the Institute of Language Sciences, SISU, primarily engaged in scientific research and talent cultivation in psycholinguistics and neurolinguistics. Elsevier China Highly Cited Scholar in Foreign Language and Literature. Board member of the Neurolinguistics Research Branch of the Chinese Association for the Modernization of the Chinese Language, member of the Language Psychology Committee of the Chinese Psychological Society, and editorial board member of Psychological Science. His research was recognized by the International Speech Communication Association (ISCA) and the European Association for Signal Processing (EURASIP) as a Best Paper award in Speech Communication. Has led General Projects of the National Natural Science Foundation of China, General Projects of the Shanghai Natural Science Foundation, projects of the National Language Commission, projects of the Shanghai Philosophy and Social Science Planning Office, and industry-university collaborative education projects of the Ministry of Education, and has participated in two Major Projects of the National Social Science Fund of China. Has published in journals including Trends in Cognitive Sciences, Behavior Research Methods, and JASA. His Psycholinguistics course has been selected as a Shanghai First-Class Undergraduate Course. His research employs behavioral, neurophysiological, neuroimaging, and large language model methods to investigate multimodal encoding and decoding of voice and vocal emotion in speech communication and interaction among healthy and clinical populations, processing of sociocultural and emotional speech information, and cognitive operations in language activity and their applications.

Li Jingjie, Professor at the Institute of Language Sciences, SISU. Research interests include corpus linguistics, quantitative linguistics, and academic English studies. Holds a Ph.D. in Foreign Linguistics and Applied Linguistics from Shanghai Jiao Tong University and completed postdoctoral research at the Research Centre for Information and Language Systems, University of Liverpool, UK. Holds one national invention patent. Has published nearly 20 research articles in SSCI/CSSCI journals including the International Journal of Corpus Linguistics, Foreign Language Teaching and Research, Foreign Languages, Computer-Assisted Foreign Language Education, and Foreign Languages and Their Teaching. Has led multiple research projects including those funded by the National Social Science Fund of China and the Shanghai Social Science Fund.

Li Yan, Associate Professor and Master’s Supervisor at the Institute of Language Sciences, SISU. Currently teaches core courses including Machine Learning Technology and Applications, Knowledge Graphs, Python Programming and Data Analysis, Advanced Mathematics, and Linear Algebra. Has led vertical research projects including the National Natural Science Foundation of China, sub-projects of major projects of the National Social Science Fund of China, the Special Fund for Outstanding Young University Teachers of Shanghai, and SISU institutional research projects. Has received industry-sponsored research projects from the Shanghai Development and Reform Commission, Shanghai Yuankai Group, and China State Shipbuilding Corporation. Has received international paper awards, national outstanding case awards, recognition as Shanghai Excellent Mentor for Industry-Education Integration, recognition as a Core Faculty Member, and the SISU March 8th Red Banner Pacesetter award.

Xu Hongzhi, Ph.D., Assistant Researcher, full-time research staff at the Key Laboratory of Language Sciences and Multilingual Intelligent Applications and the Institute of Language Sciences, SISU, and Zhiyuan Young Scholar. Research focuses on computational linguistics, formal semantics and pragmatics theory and computation, and analysis and computation of cross-linguistic morphology.

Ni Qin, Professor and Master’s Supervisor at the Institute of Language Sciences, SISU, and recipient of the Shanghai Youth Science and Technology Rising Star Talent award. Holds a Ph.D. in Computer Science and Technology from the Polytechnic University of Madrid, Spain, and is a member of the UNESCO International Expert Group on AI and Digitalization in Education. Research focuses on cognitive computing, sentiment analysis, and AI applications in education. Participated as a contributor in the drafting and release of official UNESCO documents Guidance for generative AI in education and research and AI competency framework for teachers. Has led multiple research projects as Principal Investigator, including the National Natural Science Foundation of China, Shanghai Natural Science Foundation, UNESCO consultancy projects, a principal project of the Shanghai AI Technology Support Special Program, and General Projects of the Shanghai Natural Science Foundation. Research results have been published in leading AI journals and conferences including IEEE Transactions on Learning Technologies, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Artificial Intelligence, and AAAI.

Zhang Wenshuo, Assistant Researcher at the Institute of Language Sciences, SISU, received her Ph.D. in Science from the School of Psychological and Cognitive Sciences, Peking University in 2020. Research focuses on the cognitive processes of human language communication, including pragmatic reasoning, human-machine conversation, and action acquisition. Uses eye-tracking, physiological measurements, EEG, and MRI to investigate cognitive-related behavioral and neural bases. Has published multiple papers in SCI/SSCI journals including NeuroImage, Cerebral Cortex, Neuropsychologia, Psychophysiology, and Language, Cognition and Neuroscience. Her current research project, funded by the Shanghai Philosophy and Social Science General Project, focuses on the synergy of the brain's motor network and theory of mind network in understanding speech acts. In teaching, she leads courses in Statistics, R Statistical Language, and Cognitive Neuroscience Techniques, and participates in teaching the national first-class undergraduate course Interdisciplinary Research Methods in Language. Welcomes students interested in psycholinguistics/neurolinguistics to join her research group (options for master's programs in Psycholinguistics/Language Data Science at SISU's Institute of Language Sciences).

Li Xiaoqian, Assistant Researcher at the Institute of Language Sciences, SISU, holds a Ph.D. in Foreign Language and Literature from Shanghai Jiao Tong University. Research focuses on corpus-based translation studies, diplomatic discourse studies, and image studies. Has led a Youth Project of the National Social Science Fund of China and a General Project of the China Postdoctoral Science Foundation.

Fu Yang, Assistant Researcher at the Institute of Language Sciences, SISU, completed postdoctoral research in Linguistics and Applied Linguistics at Zhejiang University, holds a doctoral position at the Instituto Universitario de Neurociencia (IUNE), and is a recipient of the Spanish national Ayudas Margarita Salas Para La Formación de Jóvenes Doctores award for young scholars. Has published SSCI papers in journals including Brain and Language, Studies in Second Language Acquisition, and Bilingualism: Language and Cognition. Has led innovation projects of the Spanish Ministry of Science and Technology, the Shanghai Baijiang Pujiang Talent Program, and the China Postdoctoral Science Foundation. Research focuses on psycholinguistics, neurolinguistics, hyperscanning, and EEG co-recording.