Cross-Dialect Sentence Transformation: A Comparative Analysis of
  Language Models for Adapting Sentences to British English
Shruti Dutta Shashwat Mookherjee
This study explores linguistic distinctions among American, Indian, and Irish
English dialects and assesses various Language Models (LLMs) in their ability
to generate British English translations from these dialects. Using cosine
similarity analysis, the study measures the linguistic proximity between
original British English translations and those produced by LLMs for each
dialect. The findings reveal that Indian and Irish English translations
maintain notably high similarity scores, suggesting strong linguistic alignment
with British English. In contrast, American English exhibits slightly lower
similarity, reflecting its distinct linguistic traits. Additionally, the choice
of LLM significantly impacts translation quality, with Llama-2-70b consistently
demonstrating superior performance. The study underscores the importance of
selecting the right model for dialect translation, emphasizing the role of
linguistic expertise and contextual understanding in achieving accurate
translations.