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- W2621167335 abstract "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." @default.
- W2621167335 created "2017-06-09" @default.
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- W2621167335 date "2017-01-01" @default.
- W2621167335 modified "2023-09-23" @default.
- W2621167335 title "Lexicon Induction for Spoken Rusyn – Challenges and Results" @default.
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- W2621167335 doi "https://doi.org/10.18653/v1/w17-1405" @default.
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