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Um método adaptativo para análise sintática do Português Brasileiro. ; An adaptive method for syntactic analysis of Brazilian Portuguese.
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Padovani, Djalma. - : Biblioteca Digital de Teses e Dissertações da USP, 2022. : Universidade de São Paulo, 2022. : Escola Politécnica, 2022
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Document Image Parsing and Understanding using Neuromorphic Architecture
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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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Natural Language Semantics using Probabilistic Logic
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In: DTIC (2014)
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Arabic Natural Language Processing System Code Library
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In: DTIC (2014)
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Corrección no supervisada de dependencias sintácticas de aposición mediante clases semánticas ; Unsupervised correction of syntactic dependencies of apposition through semantic classes
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Le programme Mogador en linguistique formelle arabe et ses applications dans le domaine de la recherche et du filtrage sémantique
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In: https://halshs.archives-ouvertes.fr/halshs-00912009 ; 2012 (2012)
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An All-Fragments Grammar for Simple and Accurate Parsing
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In: DTIC (2012)
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Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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Introduction of Automation for the Production of Bilingual, Parallel-Aligned Text
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In: DTIC (2011)
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Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques
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In: DTIC (2010)
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A Formal Model of Ambiguity and its Applications in Machine Translation
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In: DTIC (2010)
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Rapidly Customizable Spoken Dialogue Systems
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In: DTIC (2009)
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Abstract:
Building a robust spoken dialogue system for a new application, task, or domain currently requires considerable effort, including substantial efforts in data collection, building language models, grammar/parser development, building a custom dialogue manager, and developing the connection to the system's "back-end" systems (e.g., a database query or knowledge based system). This project developed key parts of a technology base upon which spoken dialogue systems can be rapidly constructed for new domains. Our approach involves building generic components (i.e., ones that apply in any practical domain) for all stages of spoken dialogue understanding, and developing techniques for rapidly customizing the generic components to new domains.
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Keyword:
*MAN MACHINE SYSTEMS; *VOICE COMMUNICATIONS; ARTIFICIAL INTELLIGENCE; COMAIN-INDEPENDENT GRAMMARS; DATA ACQUISITION; GRAMMARS; Human Factors Engineering & Man Machine System; HUMAN-CENTERED COMPUTING; KNOWLEDGE BASED SYSTEMS; LANGUAGE MODELS; Linguistics; PARSERS; ROBOTS; SPEECH; SPOKEN DIALOGUES; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA493272 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA493272
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Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
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In: DTIC (2009)
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Wide-coverage deep statistical parsing using automatic dependency structure annotation
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In: Cahill, Aoife orcid:0000-0002-3519-7726 , Burke, Michael, O'Donovan, Ruth, Riezler, Stefan, van Genabith, Josef orcid:0000-0003-1322-7944 and Way, Andy orcid:0000-0001-5736-5930 (2008) Wide-coverage deep statistical parsing using automatic dependency structure annotation. Computational Linguistics, 34 (1). pp. 81-124. (2008)
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