-
Warner, A.J.: Natural language processing (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.79-108
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Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996)
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- Abstract
- State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
- Source
- Annual review of information science and technology. 31(1996), S.83-119
-
Rasmussen, E.M.: Parallel information processing (1992)
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- Abstract
- Focuses on the application of parallel processing for the processing of text, primarily documents and document surrogates. Research on parallel processing of text has developed in 2 areas: a hardware approach involving the development of special purpose machines for text processing; and a software approach in which data structures and algorithms are developed for text searching using general purpose parallel processors
- Source
- Annual review of information science and technology. 27(1992), S.99-130
-
Zunde, P.: Selected bibliography on information theory applications to information science and related subject areas (1984)
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- Source
- Information processing and management. 20(1984), S.417-497
-
Simmons, R.F.: Automated language processing (1966)
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- Source
- Annual review of information science and technology. 1(1966), S.137-170
-
Bobrow, D.G.; Fraser, J.B.; Quillian, M.R.: Automated language processing (1967)
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- Source
- Annual review of information science and technology. 2(1967), S.161-186
-
Salton, G.: Automated language processing (1968)
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- Source
- Annual review of information science and technology. 3(1968), S.137-168
-
Montgomery, C.A.: Automated language processing (1969)
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- Source
- Annual review of information science and technology. 4(1969), S.145-174
-
Kay, M.; Sparck Jones, K.: Automated language processing (1971)
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- Source
- Annual review of information science and technology. 6(1971), S.141-166
-
Walker, D.E.: Automated language processing (1973)
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- Source
- Annual review of information science and technology. 8(1973), S.69-120
-
Damerau, F.J.: Automated language processing (1976)
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- Source
- Annual review of information science and technology. 11(1976), S.107-162
-
Becker, D.: Automated language processing (1981)
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- Source
- Annual review of information science and technology. 16(1981), S.113-138
-
Tannehill, R.S. Jr.: Bibliographic and information processing standards (1983)
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- Annual review of information science and technology. 18(1983), S.61-98
-
Park, M.K.: Bibliographic and information processing standards (1977)
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- Annual review of information science and technology. 12(1977), S.59-80
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Chowdhury, G.G.: Natural language processing (2002)
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- Abstract
- Natural Language Processing (NLP) is an area of research and application that explores how computers can be used to understand and manipulate natural language text or speech to do useful things. NLP researchers aim to gather knowledge an how human beings understand and use language so that appropriate tools and techniques can be developed to make computer systems understand and manipulate natural languages to perform desired tasks. The foundations of NLP lie in a number of disciplines, namely, computer and information sciences, linguistics, mathematics, electrical and electronic engineering, artificial intelligence and robotics, and psychology. Applications of NLP include a number of fields of study, such as machine translation, natural language text processing and summarization, user interfaces, multilingual and cross-language information retrieval (CLIR), speech recognition, artificial intelligence, and expert systems. One important application area that is relatively new and has not been covered in previous ARIST chapters an NLP relates to the proliferation of the World Wide Web and digital libraries.
- Source
- Annual review of information science and technology. 37(2003), S.51-90
-
Allen, B.: Cognitive research in information science : implications for design (1991)
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- Abstract
- Traces the history and development of cognitive research techniques in information science and surveys current research that relies on the cognitive aspect. Examines information systems that make use of the insights of cognitive research, including experimental and proposed systems. Examples include systems that are designed to make appropriate demands on user cognitive processing. Points out that cognitive research in information science has focused primarily on users of information systems and to a lesser extent on information intermediaries. Design initiatives deriving from this research have been directed toward developing information technology that can adapt to the knowledge abilities, and styles of individual users and that make efficient use of the knowledge base and cognitive process of groups of users
- Source
- Annual review of information science and technology. 26(1991), S.3-37
-
Willett, P.: Recent trends in hierarchic document clustering : a critical review (1988)
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- Source
- Information processing and management. 24(1988) no.5, S.577-597
-
Priss, U.: Formal concept analysis in information science (2006)
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- Date
- 13. 7.2008 19:29:59
- Source
- Annual review of information science and technology. 40(2006), S.xxx-xxx
-
Fallis, D.: Social epistemology and information science (2006)
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- Date
- 13. 7.2008 19:22:28
- Source
- Annual review of information science and technology. 40(2006), S.xxx-xxx
-
Perez-Carballo, J.; Strzalkowski, T.: Natural language information retrieval : progress report (2000)
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- Source
- Information processing and management. 36(2000) no.1, S.155-205
