This study examines emerging opportunities and trends in the field of Contrastive Linguistics driven by the advent of large language models(LLMs).We argue that the semantic intelligence of LLMs offers novel possibilities for establishing tertium comparationis(TC),enabling objective and measurable comparisons that were previously difficult to attain,surpassing the limitations of traditional methods rooted in translational relations.This advancement has led to the creation of high-quality knowledge resources that facilitate multi-level and multidimensional contrastive analyses.This study highlights how the qualitative analysis results generated by LLMs are transformed into quantitative data,empowering more mixed-method research.The study suggests that LLMs excel in multilingual and multi-level knowledge retrieval,and collaboration between LLMs and researchers is imperative and holds immense potential for various research applications.
万方数据
维普
