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1
Um método adaptativo para análise sintática do Português Brasileiro. ; An adaptive method for syntactic analysis of Brazilian Portuguese.
Padovani, Djalma. - : Biblioteca Digital de Teses e Dissertações da USP, 2022. : Universidade de São Paulo, 2022. : Escola Politécnica, 2022
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2
Graph-based broad-coverage semantic parsing
Lyu, Chunchuan. - : The University of Edinburgh, 2021
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3
Wide-coverage statistical parsing with minimalist grammars
Torr, John Philip. - : The University of Edinburgh, 2019
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4
Document Image Parsing and Understanding using Neuromorphic Architecture
In: DTIC (2015)
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5
Learning to Understand Natural Language with Less Human Effort
In: DTIC (2015)
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6
Natural Language Semantics using Probabilistic Logic
In: DTIC (2014)
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7
Arabic Natural Language Processing System Code Library
In: DTIC (2014)
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8
Text collection for the "Beja parser"
Wedekind, Klaus. - 2014
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9
Building on Deep Learning
In: DTIC (2013)
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10
Corrección no supervisada de dependencias sintácticas de aposición mediante clases semánticas ; Unsupervised correction of syntactic dependencies of apposition through semantic classes
Cabaleiro Barciela, Bernardo; Peñas Padilla, Anselmo. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2013
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11
Le programme Mogador en linguistique formelle arabe et ses applications dans le domaine de la recherche et du filtrage sémantique
In: https://halshs.archives-ouvertes.fr/halshs-00912009 ; 2012 (2012)
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12
An All-Fragments Grammar for Simple and Accurate Parsing
In: DTIC (2012)
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13
Incremental Syntactic Language Models for Phrase-Based Translation
In: DTIC (2011)
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14
Introduction of Automation for the Production of Bilingual, Parallel-Aligned Text
In: DTIC (2011)
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15
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
In: DTIC (2011)
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16
Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques
In: DTIC (2010)
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17
A Formal Model of Ambiguity and its Applications in Machine Translation
In: DTIC (2010)
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18
Rapidly Customizable Spoken Dialogue Systems
In: DTIC (2009)
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19
Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
In: DTIC (2009)
Abstract: This report describes a design study carried out at the Computing Research Laboratory, New Mexico State University. The goal was to investigate the feasibility of creating a visual interpretation of the spoken messages passed among the crew of an Unmanned Aerial Vehicle (UAV). Because of the limited domain of UAV crew dialogs, it seemed possible to produce visual representations of their messages. These visualized messages could be used for communication among UAV crew members who do not speak the same language, and they could also visually verify any spoken communications. The following tasks were carried out by the research team: (1) a general analysis of how images could be used to represent dialogs; (2) a more specific analysis of dialogs and parse trees produced from experimental UAV dialogs; (3) participation in discussions and in a simulated flight as crew members while visiting researchers at AFRL, Mesa; (4) development of a set of icons and conventions to represent mission status and the form of crew member dialogs; (5) design of a prototype visualization system -- Chat2Pix; (6) implementation of the prototype using Visual Basic to run on Windows systems; (7) redesign of the prototype to display more structured information; and (8) implementation and delivery of a second version of the visualization system -- Chat2Pix2.
Keyword: *DIALOG VISUALIZATION; *DRONES; *FLIGHT CREWS; *MACHINE TRANSLATION; *MESSAGE PROCESSING; *PICTORIAL REPRESENTATION; *PICTURES; *SPEECH REPRESENTATION; *TEXT PROCESSING; *TEXT VISUALIZATION; *VOICE COMMUNICATIONS; CHAT2PIX VISUALIZATION SYSTEM; Computer Programming and Software; COMPUTER PROGRAMS; CONVERSATION VISUALIZATION; Cybernetics; DIALOG REPRESENTATION; GRAPHICAL USER INTERFACE; ICONS; IMAGES; LANGUAGE REPRESENTATION; LANGUAGE SYMBOLISM; Linguistics; MICROSOFT WINDOWS; PARSE TREES; PARSERS; PREPROCESSING; PROTOTYPES; SEMANTICS; SYMBOLS; TEAMS(PERSONNEL); TWO WAY TRANSMISSION; UAV CREWS; USER MANUALS; VISUAL BASIC PROGRAMMING LANGUAGE; VISUAL REPRESENTATION; Voice Communications; WORDS(LANGUAGE); WUAFRL1123AT09
URL: http://www.dtic.mil/docs/citations/ADA512987
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA512987
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20
Wide-coverage deep statistical parsing using automatic dependency structure annotation
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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