Comparing the Paraphrasing Ability of ChatGPT and Kimi AI in Jane Eyre:a Qualitative Study

This study compares the paraphrasing abilities of ChatGPT and Kimi AI in Jane Eyre, based on a linguistic typology standard. Firstly, the data shows a general paraphrasing situation across each facet of the standard, demonstrating the two Large Language Models(LLMs) performed better in their original source languages, English and Chinese. Subsequently, qualitative case studies demonstrate the discrepancy of single quantitative study and delves deeper into the English-Chinese comparison behind the behaviour of the two models, which is analyzed with comparative Linguistics, advanced translation studies and even Literature theories. The results demonstrate that English is more hypotactic, using more variations of words or clause to express compared to Chinese. Chinese, on the other hand, is more paratactic, requiring more modifiers to concretize the same expression. In conclusion, this paper sheds light on and contributes to the linguistic characteristics of the source languages in developing and refining LLMs for NLP tasks. Meanwhile, concerns are raised about the limitations due to the limited case study and translation deviation. Additionally, this paper rasies suggestions for future AI modification and personalizes development of future LLMs and AI.

Authors

Publication Details

Journal
Journal of Education Humanities and Social Sciences
Published
2024-12-13
DOI
https://doi.org/10.54097/58nrg156
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparing the Paraphrasing Ability of ChatGPT and Kimi AI in Jane Eyre:a Qualitative Study

Xiangyu He
Journal of Education Humanities and Social Sciences
Natural Language Processing Techniques
article

Comparing the Paraphrasing Ability of ChatGPT and Kimi AI in Jane Eyre:a Qualitative Study

Xiangyu He
article en

Abstract

This study compares the paraphrasing abilities of ChatGPT and Kimi AI in Jane Eyre, based on a linguistic typology standard. Firstly, the data shows a general paraphrasing situation across each facet of the standard, demonstrating the two Large Language Models(LLMs) performed better in their original source languages, English and Chinese. Subsequently, qualitative case studies demonstrate the discrepancy of single quantitative study and delves deeper into the English-Chinese comparison behind the behaviour of the two models, which is analyzed with comparative Linguistics, advanced translation studies and even Literature theories. The results demonstrate that English is more hypotactic, using more variations of words or clause to express compared to Chinese. Chinese, on the other hand, is more paratactic, requiring more modifiers to concretize the same expression. In conclusion, this paper sheds light on and contributes to the linguistic characteristics of the source languages in developing and refining LLMs for NLP tasks. Meanwhile, concerns are raised about the limitations due to the limited case study and translation deviation. Additionally, this paper rasies suggestions for future AI modification and personalizes development of future LLMs and AI.

Journal of Education Humanities and Social SciencesVol. 42
Quality Education
Openalex Percentile: Top 79%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.