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.
College and Department
Humanities; Linguistics and English Language
BYU ScholarsArchive Citation
Nix, Michael Albert, "Parsing an American Sign Language Corpus with Combinatory Categorial Grammar" (2020). Theses and Dissertations. 8407.
American Sign Language, ASL, corpus, Categorial Grammar, computational parsing