3 papers
cs.CL2025
Transformer-Enabled Diachronic Analysis of Vedic Sanskrit: Neural Methods for Quantifying Types of Language Change
Ananth Hariharan, David Mortensen
This study demonstrates how hybrid neural-symbolic methods can yield significant new insights into the evolution of a morphologically rich, low-resource language. We challenge the…
cs.CL2025
The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure
Niyati Bafna, Tianjian Li, Kenton Murray +4
Multilingual generation with large language models (LLMs) is often of poor quality for mid- to low-resource languages, but the causes for this are not well-understood. We first dem…
cs.CL2025
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction
Atharva Naik, Darsh Agrawal, Hong Sng +8
Historical linguists have long written "programs" that convert reconstructed words in an ancestor language into their attested descendants via ordered string rewrite functions (cal…