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An Analysis of Gender Bias in K-12 Assigned Literature Through Comparison of Non-Contextual Word Embedding Models
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Assembling Syntax: Modeling Constituent Questions in a Grammar Engineering Framework
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Collecting and using race and ethnicity information in linguistic studies
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Tracing and Reducing Lexical Ambiguity in Automatically Inferred Grammars
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Abstract:
Thesis (Master's)--University of Washington, 2021 ; While the automated creation of machine-readable grammars is a valuable resource for linguists who wish to work with these grammars for linguistic hypothesis testing, the complexity of developing a system capable of creating such grammars presents a number of obstacles. One obstacle faced by the system this work belongs to is the excessive amount of ambiguity that the output grammars license. Because the system takes input from a diverse collection of resources, the glossing practices between datasets can vary, making it necessary to employ generalized approaches to determining the syntactic function of certain glosses. Such generalized approaches expand the kinds of data that can be used, but at the risk of introducing spurious ambiguity. This study investigates linguistically informed ways to reduce the ambiguity of the inferred lexicons and morphological systems in these grammars. By decreasing the presence of non-inflecting lexical rules and imposing stricter requirements on which roots may be entered into the lexicon, the lexical and morphological ambiguity of the system was reduced without an overwhelming loss of coverage.
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Keyword:
Computer science; Linguistics
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URL: http://hdl.handle.net/1773/47085
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A Finite-State Morphological Analyzer for Central Alaskan Yup'ik
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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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Linguistic fundamentals for natural language processing II: 100 essentials from semantics and pragmatics
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Braiding Language (by Computer): Lushootseed Grammar Engineering
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Modeling Clausal Complementation for a Grammar Engineering Resource
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Incorporating deep visual features into multiobjective based multi-view search results clustering
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In: Mitra, Sayantan, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Saha, Sriparna and Way, Andy orcid:0000-0001-5736-5930 (2018) Incorporating deep visual features into multiobjective based multi-view search results clustering. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, NM, USA. (2018)
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Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
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A Parametric Implementation of Valence-changing Morphology in the LinGO Grammar Matrix
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Challenges and opportunities of applying natural language processing in business process management
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