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127
How phrase sense disambiguation outperforms word sense disambiguation for statistical machine translation. Forthcoming
, 2007
"... We present comparative empirical evidence arguing that a generalized phrase sense disambiguation approach better improves statistical machine translation than ordinary word sense disambiguation, along with a data analysis suggesting the reasons for this. Standalone word sense disambiguation, as exem ..."
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Cited by 11 (1 self)
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We present comparative empirical evidence arguing that a generalized phrase sense disambiguation approach better improves statistical machine translation than ordinary word sense disambiguation, along with a data analysis suggesting the reasons for this. Standalone word sense disambiguation
Word Sense Disambiguation: Why Statistics When We Have These Numbers?
- Proceedings of the 7th International Conference on Theoretical and Methodological Issues in Machine Translation
, 1997
"... . Word sense disambiguation continues to be a di#cult problem in machine translation #MT#. Current methods either demand large amounts of corpus data and training or rely on knowledge of hard selectional constraints. In either case, the methods have been demonstrated only on a small scale and mos ..."
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Cited by 8 (1 self)
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. Word sense disambiguation continues to be a di#cult problem in machine translation #MT#. Current methods either demand large amounts of corpus data and training or rely on knowledge of hard selectional constraints. In either case, the methods have been demonstrated only on a small scale
Behavioral theories and the neurophysiology of reward,
- Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
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Cited by 187 (0 self)
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receptors that translate environmental energy and information into neural language. Thus, the functions of primary sensory systems are governed by the laws of mechanics, optics, acoustics, and receptor binding. By contrast, there are no dedicated receptors for reward, and the information enters the brain
Learning for semantic parsing using statistical machine translation techniques
, 2005
"... Semantic parsing is the construction of a complete, formal, symbolic meaning representation of a sentence. While it is crucial to natural language understanding, the problem of semantic parsing has received relatively little attention from the machine learning community. Recent work on natural langu ..."
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Cited by 12 (1 self)
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language understanding has mainly focused on shallow semantic analysis, such as word-sense disambiguation and semantic role labeling. Semantic parsing, on the other hand, involves deep semantic analysis in which word senses, semantic roles and other components are combined to produce useful meaning
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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Cited by 122 (0 self)
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in this paper: they rely on data and sources presented in the updated version of my trilogy (Castells 2000a). For the sake of clarity, I will rst present the conceptual framework I use in my analysis of social structure. I will then proceed to enumerate the main transformations taking place in social structures
port Vector Machines, Kernel Fisher Discriminant analysis
"... Abstract | This review provides an introduction to Sup- ..."
Large Neural Networks For The Resolution Of Lexical Ambiguity
- IN SAINT-DIZIER, PATRICK; VIEGAS, EVELYNE (EDS.) COMPUTATIONAL LEXICAL SEMANTICS. NATURAL LANGUAGE PROCESSING SERIES
, 1995
"... Many words have two or more very distinct meanings. For example, the word pen can refer to a writing implement or to an enclosure. Many natural language applications, including information retrieval, content analysis and automatic abstracting, and machine translation, require the resolution of lex ..."
Abstract
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Cited by 7 (2 self)
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Many words have two or more very distinct meanings. For example, the word pen can refer to a writing implement or to an enclosure. Many natural language applications, including information retrieval, content analysis and automatic abstracting, and machine translation, require the resolution
M.: Translation Context Sensitive WSD
- the 11th Annual Conference of the European Association for Machine Translation
, 2006
"... While it is generally agreed that Word Sense Disambiguation (WSD) is an application-dependent task, the great majority of systems pursue application-independent approaches. We propose a strategy to support WSD for Machine Translation which is designed specifically for this application. It relies on ..."
Abstract
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Cited by 1 (1 self)
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While it is generally agreed that Word Sense Disambiguation (WSD) is an application-dependent task, the great majority of systems pursue application-independent approaches. We propose a strategy to support WSD for Machine Translation which is designed specifically for this application. It relies
Microsoft Word - IJARCET_Paper.doc
"... Abstract-This paper presents a literature review on English OCR techniques. English OCR system is compulsory to convert numerous published books of English into editable computer text files. Latest research in this area has been able to grown some new methodologies to overcome the complexity of Eng ..."
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will be translated into machine processable text. Due to the print quality of the documents and the error-prone pattern matching techniques of the OCR process, OCR errors occur. Modern OCR processors have character recognition rates up to 99% on high quality documents. Assuming an average word length of 5 characters
Results 1 - 10
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127