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1
An Analysis of Gender Bias in K-12 Assigned Literature Through Comparison of Non-Contextual Word Embedding Models
Mohan, Preeti. - 2021
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2
Assembling Syntax: Modeling Constituent Questions in a Grammar Engineering Framework
Zamaraeva, Olga. - 2021
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3
Tracing and Reducing Lexical Ambiguity in Automatically Inferred Grammars
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4
A Finite-State Morphological Analyzer for Central Alaskan Yup'ik
Strunk, Lonny. - 2020
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5
Inferring Grammars from Interlinear Glossed Text: Extracting Typological and Lexical Properties for the Automatic Generation of HPSG Grammars
Howell, Kristen. - 2020
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6
Multi-predicate Constructions in Nuuchahnulth
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7
Braiding Language (by Computer): Lushootseed Grammar Engineering
Crowgey, Joshua. - 2019
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8
A Parametric Implementation of Valence-changing Morphology in the LinGO Grammar Matrix
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9
Semantic Operations for Transfer-based Machine Translation
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10
Modeling Adnominal Possession in the LinGO Grammar Matrix
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11
An Evidentiality Library for the LinGO Grammar Matrix
Haeger, Michael. - 2017
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12
Automated Gloss Mapping for Inferring Grammatical Properties
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13
Full Forest Treebanking
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14
Adjectives in the LinGO Grammar Matrix
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15
Automated Grammar Engineering for Verbal Morphology
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16
A Grammar Library for Information Structure
Song, Sanghoun. - 2014
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17
Linguistic fundamentals for natural language processing : 100 essentials from morphology and syntax
Bender, Emily M.. - San Rafael, Calif. : Morgan & Claypool, 2013
UB Frankfurt Linguistik
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18
Comparative Analysis of DeepBank and the Penn Treebank
Abstract: Thesis (Master's)--University of Washington, 2013 ; I examined the differences between the DeepBank and Penn Treebank and the effect of hand-created and grammar-derived annotations on dependency representations. The dependencies comparison involved transforming the DeepBank trees into Penn Treebank format, training the Stanford parser on the resulting output, and testing the trained parser vs known dependencies data; this task yielded a null result. A detailed analysis of the remaining differences between the Penn Treebank and modified DeepBank was done after the transformation process, showing many differences including parse selection, clause and phrase attachment, labeling of modifiers, and the treatment of proper noun phrases like movie titles. This yielded useful information for future work in this area.
Keyword: deepbank; dependencies; Linguistics; penn treebank
URL: http://hdl.handle.net/1773/24984
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19
Markers of contrast in Russian: A corpus-based study
Gracheva, Varya. - 2013
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20
An analysis of translation divergence patterns using PanLex translation pairs
Gola, Francesca. - 2012
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