An FST morphological analyzer for the Gitksan language
This paper presents a finite-state morphological analyzer for the Gitksan language. The analyzer draws from a 1250-token Eastern dialect wordlist. It is based on finite-state technology and additionally includes two extensions which can provide analyses for out-of-vocabulary words: rules for generating predictable dialect variants, and a neural guesser component. The pre-neural analyzer, tested against interlinear-annotated texts from multiple dialects, achieves coverage of (75-81%), and maintains high precision (95-100%). The neural extension improves coverage at the cost of lowered precision.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
An Inflectional Database for Gitksan
This paper presents a new inflectional resource for Gitksan, a low-resource Indigenous language of Canada. We use Gitksan data in interlinear glossed format, stemming from language documentation efforts, to build a datab…
Data AugmentationHallucinationTranslationAn Open, Extendible, and Fast Turkish Morphological Analyzer
In this paper, we present a two-level morphological analyzer for Turkish. The morphological analyzer consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, a…
Morphological AnalysisRapid Development of Morphological Analyzers for Typologically Diverse Languages
The Low Resource Language research conducted under DARPA{'}s Broad Operational Language Translation (BOLT) program required the rapid creation of text corpora of typologically diverse languages (Turkish, Hausa, and Uzbek…
TranslationDEMorphy, German Language Morphological Analyzer
DEMorphy is a morphological analyzer for German. It is built onto large, compactified lexicons from German Morphological Dictionary. A guesser based on German declension suffixed is also provided. For German, we provided…
A Finite State Transducer Based Morphological Analyzer of Maithili Language
Morphological analyzers are the essential milestones for many linguistic applications like; machine translation, word sense disambiguation, spells checkers, and search engines etc. Therefore, development of an effective …
Machine TranslationTranslationWord Sense Disambiguation