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Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators
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In: Front Artif Intell (2022)
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Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages ...
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Surprisal Estimators for Human Reading Times Need Character Models ...
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Coreference information guides human expectations during natural reading ...
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The Importance of Category Labels in Grammar Induction with Child-directed Utterances ...
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Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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Tractable models of natural language semantics for recognizing spoken directions
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In: Dissertations available from ProQuest (2003)
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A Parameterized Action Representation for Virtual Human Agents
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In: Center for Human Modeling and Simulation (2000)
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A Parameterized Action Representation for Virtual Human Agents
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In: Center for Human Modeling and Simulation (2000)
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A Machine Translation System from English to American Sign Language
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In: Center for Human Modeling and Simulation (2000)
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