Paper: Unsupervised Discovery Of Persian Morphemes

ACL ID E06-2023
Title Unsupervised Discovery Of Persian Morphemes
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2006
Authors

This paper reports the present results of a research on unsupervised Persian mor- pheme discovery. In this paper we pre- sent a method for discovering the mor- phemes of Persian language through automatic analysis of corpora. We util- ized a Minimum Description Length (MDL) based algorithm with some im- provements and applied it to Persian cor- pus. Our improvements include enhanc- ing the cost function using some heuris- tics, preventing the split of high fre- quency chunks, exploiting penalty for first and last letters and distinguishing pre-parts and post-parts. Our improved approach has raised the precision, recall and f-measure of discovery by respec- tively %32, %17 and %23.