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Inferring Grammars from Interlinear Glossed Text: Extracting Typological and Lexical Properties for the Automatic Generation of HPSG Grammars
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Abstract:
Thesis (Ph.D.)--University of Washington, 2020 ; This dissertation presents a grammar inference system that leverages linguistic knowledge recorded in the form of annotations in interlinear glossed text (IGT) and in a meta-grammar engineering system (the LinGO Grammar Matrix customization system) to automatically produce machine-readable HPSG grammars. Building on prior work to handle the inference of lexical classes, stems, affixes and position classes, and preliminary work on inferring case systems and word order, I present an integrated grammar inference system called BASIL that covers a wide range of fundamental linguistic phenomena. System development was guided by 27 geneologically and geographically diverse languages, and I test the system's cross-linguistic generalizability on an additional 5 held-out languages, using datasets provided by field linguists. My system out-performs three baseline systems in increasing coverage while limiting ambiguity and producing richer semantic representations than the baselines or previous work in grammar inference.
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Keyword:
Endangered Languages; Grammar Engineering; Grammar Inference; HPSG; Linguistics; Typology
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URL: http://hdl.handle.net/1773/46080
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BASE
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Braiding Language (by Computer): Lushootseed Grammar Engineering
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BASE
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