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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
	Qiu, Qinru
	In: DTIC (2015)
	Abstract: In this project, we investigate brain inspired information processing for text image recognition and its performance/accuracy optimization. The intelligent text recognition system (ITRS) works robustly on images with low quality by using a combination of input image data preparation, pattern matching and statistical inference. Our experimental results show that, compared to Tesseract, the ITRS achieves comparable accuracy for clean input images and higher accuracy for camera images with occlusions. Performance enhancement techniques are developed to reduce the processing speed at different layers. In the pattern matching layer, the computing power of multicore processors is explored to reduce the processing time. In the word confabulation layer, new data structures are adopted for the storage of a dictionary, which increases memory locality and reduces search complexity. In the sentence confabulation layer, different sentence models are compared and the best model with the highest accuracy is identified. Finally, the overall ITRS is implemented on a heterogeneous high performance computing cluster. It provides users with the flexibility of computing resource management through a configuration file.
	Keyword: COMPUTATIONAL LINGUISTICS; HIGH PERFORMANCE COMPUTING; KNOWLEDGE BASED SYSTEMS; PATTERN RECOGNITION; BRAIN INSPIRED; Computer Programming and Software; Cybernetics; ENHANCEMENT TECHNIQUES; Human Factors Engineering & Man Machine System; IMAGE PROCESSING; INFORMATION PROCESSING; ITRS(INTELLIGENT TEXT RECOGNITION SYSTEMS); Linguistics; MEMORY DEVICES; NATURAL LANGUAGE; NETWORK ARCHITECTURE; NETWORK FLOWS; NEURAL NETS; NEUROMORPHIC COMPUTING; OPTIMIZATION; PARSERS; PE62788F; PERFORMANCE(ENGINEERING); SEMANTICS; SOFTWARE ENGINEERING; STATISTICAL INFERENCE; TEXT PROCESSING; WORKLOAD; WUAFRLT2MT0SYR
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA620044 http://www.dtic.mil/docs/citations/ADA620044
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5	Learning to Understand Natural Language with Less Human Effort
	Krishnamurthy, Jayant
	In: DTIC (2015)
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6	Natural Language Semantics using Probabilistic Logic
	Beltagy, Islam
	In: DTIC (2014)
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7	Arabic Natural Language Processing System Code Library
	Tratz, Stephen C
	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
	Pickett, Marc
	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
	Jaccarini, André; Gaubert, Christian
	In: https://halshs.archives-ouvertes.fr/halshs-00912009 ; 2012 (2012)
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12	An All-Fragments Grammar for Simple and Accurate Parsing
	Bansal, Mohit; Klein, Daniel
	In: DTIC (2012)
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13	Incremental Syntactic Language Models for Phrase-Based Translation
	Schwartz, Lane; Callison-Burch, Chris; Schuler, William...
	In: DTIC (2011)
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14	Introduction of Automation for the Production of Bilingual, Parallel-Aligned Text
	Tanenbaum, Will; LaRocca, Steven A; Morgan, John J...
	In: DTIC (2011)
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15	Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
	Hecking, Matthias; Wotzlaw, Andreas; Coote, Ravi
	In: DTIC (2011)
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16	Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques
	Ge, Ruifang
	In: DTIC (2010)
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17	A Formal Model of Ambiguity and its Applications in Machine Translation
	Dyer, Christopher J
	In: DTIC (2010)
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18	Rapidly Customizable Spoken Dialogue Systems
	Allen, James
	In: DTIC (2009)
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19	Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
	Cowie, James; Helmreich, Stephen; Dang, Hung H.
	In: DTIC (2009)
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20	Wide-coverage deep statistical parsing using automatic dependency structure annotation
	Cahill, Aoife; Burke, Michael; O'Donovan, Ruth...
	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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