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Psycholinguistics of AI, Psycholinguistics versus Machine code ; Psicolinguística da AI, Psicolinguística versus código de máquina
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In: Signo; v. 47 n. 88 (2022): ISAPL ; 27-43 ; 1982-2014 ; 0101-1812 (2022)
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On The Subject of Thinking Machines
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In: https://hal.archives-ouvertes.fr/hal-01697125 ; 2018 (2018)
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Weighted tree automata and transducers for syntactic natural language processing ...
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Sociolinguistically Informed Natural Language Processing: Automating Irony Detection
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In: DTIC (2015)
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Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences
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In: DTIC (2015)
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Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment
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In: DTIC (2015)
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Examining the Role of Religiosity in Moral Cognition, Specifically in the Formation of Sacred Values, and Researching Computational Models for Analyzing Sacred Rhetoric and its Consequential Emotions
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In: DTIC (2015)
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A Fast Variational Approach for Learning Markov Random Field Language Models
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In: DTIC (2015)
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Learning to Understand Natural Language with Less Human Effort
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In: DTIC (2015)
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Virtual sign : a real time bidirectional translator of portuguese sign language
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Intelligence Virtual Analyst Capability: Governing Concepts and Science and Technology Roadmap
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Towards a Simple and Efficient Web Search Framework
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In: DTIC (2014)
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Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014
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In: DTIC (2014)
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Modelling Psychological Needs for User-dependent Contextual Suggestion
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In: DTIC (2014)
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Discovery of Deep Structure from Unlabeled Data
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In: DTIC (2014)
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ReaderBench, o platformă integrată pentru analiza complexității textuale și a strategiilor de lectură
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In: Proc. 10-a Conf. Nat. de Interactiune Om-Calculator (RoCHI 2013) ; https://hal.archives-ouvertes.fr/hal-01412573 ; Proc. 10-a Conf. Nat. de Interactiune Om-Calculator (RoCHI 2013), T. Stefanut; C. Rusu, 2013, Cluj, Romania. pp.39-46 (2013)
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MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing
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In: DTIC (2013)
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Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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