Lin Li

ORCID: 0009-0007-9597-4682
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About
Contact & Profiles
Research Areas
  • Natural Language Processing Techniques
  • Pharmaceutical Quality and Counterfeiting
  • Linguistic Variation and Morphology
  • Translation Studies and Practices
  • Sexual function and dysfunction studies
  • Model-Driven Software Engineering Techniques
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Innovative Teaching Methods
  • Second Language Learning and Teaching
  • Mathematics, Computing, and Information Processing
  • Ideological and Political Education
  • Advanced Multi-Objective Optimization Algorithms
  • Logic, programming, and type systems
  • Lexicography and Language Studies
  • Multilingual Education and Policy
  • Hormonal and reproductive studies

East China University of Political Science and Law
2025

National University of Singapore
2009-2022

Jiangnan University
2011-2019

Abstract Treebanks (parsed corpora) play an important role in linguistic research, but creating high-quality parses can be very labor-intensive. This paper discusses the prospects of such context New Englishes and what kinds research insights deliver. We present Singapore English as a case study. suggest that despite many contact-derived lexical grammatical properties English, it is quite feasible to apply off-the-shelf American parser generate English. In addition, we exploratory analysis...

10.1075/eww.23069.hua article EN English World-Wide A Journal of Varieties of English 2025-03-21

Cooperative co-evolution (CC) is an effective strategy for large scale global optimization (LSGO) problems, which divides the problem into several smaller sub-problems based on idea of divide-and-conquer. The grouping decision variables has important impact results. Differential (DG) and its improved versions detect interaction relationship between according to differential values, achieving competitive results CEC'2010 benchmark functions have uniform subcomponent sizes. However, these...

10.1109/cec.2019.8790056 article EN 2022 IEEE Congress on Evolutionary Computation (CEC) 2019-06-01

We present FIMO, an innovative dataset comprising formal mathematical problem statements sourced from the International Mathematical Olympiad (IMO) Shortlisted Problems. Designed to facilitate advanced automated theorem proving at IMO level, FIMO is currently tailored for Lean language. It comprises 149 statements, accompanied by both informal descriptions and their corresponding LaTeX-based proofs. Through initial experiments involving GPT-4, our findings underscore existing limitations in...

10.48550/arxiv.2309.04295 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Abstract It is well‐known that Outer Circle English has undergone extensive contact‐induced lexical and grammatical restructuring. Is it possible to use common NLP tools developed for Inner process texts? Here, we report our experience of using the Stanford PoS tagger tag Singaporean component International Corpus (ICE‐SIN). We isolate two major contact‐related causes tagging errors: (1) loans directly borrowed from local languages; (2) English‐origin words with new meanings acquired...

10.1111/weng.12597 article EN World Englishes 2022-07-21
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