Lexicon Induction for Spoken Rusyn – Challenges and Results
Achim Rabus, Yves Scherrer · 2017
This paper reports on challenges and results in developing NLP resources for spoken Rusyn.Being a Slavic minority language, Rusyn does not have any resources to make use of.We propose to build a morphosyntactic dictionary for Rusyn, combining existing resources from the etymologically close Slavic languages Russian, Ukrainian, Slovak, and Polish.We adapt these resources to Rusyn by using vowel-sensitive Levenshtein distance, hand-written language-specific transformation rules, and combinations of the two.Compared to an exact match baseline, we increase the coverage of the resulting morphological dictionary by up to 77.4% relative (42.9% absolute), which results in a tagging recall increased by 11.6% relative (9.1% absolute).Our research confirms and expands the results of previous studies showing the efficiency of using NLP resources from neighboring languages for low-resourced languages.