Abstract
Research into parsing sign language corpora is ongoing. Corpora for German Sign Language and Italian Sign Language have been parsed (Bungeroth et al., 2006; Mazzei, 2011, 2012, respectively). However, research into parsing a corpus of American Sign Language is non-existent. Examples of parsed ASL sentences in literature are typically isolated examples used to show a particular type of construction. Apparently no attempt has been made to parse an entire corpus of American Sign Language utterances. This thesis presents a method for constructing a grammar so that a parser implementing Combinatory Categorial Grammar can parse a corpus of American Sign Language. The results are evaluated and presented.
Degree
MA
College and Department
Humanities; Linguistics and English Language
Rights
https://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Nix, Michael Albert, "Parsing an American Sign Language Corpus with Combinatory Categorial Grammar" (2020). Theses and Dissertations. 8407.
https://scholarsarchive.byu.edu/etd/8407
Date Submitted
2020-03-25
Document Type
Thesis
Handle
http://hdl.lib.byu.edu/1877/etd11159
Keywords
American Sign Language, ASL, corpus, Categorial Grammar, computational parsing
Language
English