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

Rights

https://lib.byu.edu/about/copyright/

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

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