-
Natural language processing (1996)
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- Source
- Communications of the Association for Computing Machinery. 39(1996) no.1, S.60-110
-
King, M.: Evaluating natural language processing systems (1996)
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- Source
- Communications of the Association for Computing Machinery. 39(1996) no.1, S.xx-xx
-
Cowie, J.; Lehner, W.: Information extraction (1996)
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- Source
- Communications of the Association for Computing Machinery. 39(1996) no.1, S.xx-xx
-
Lewis, D.D.; Sparck Jones, K.: Natural language processing for information retrieval (1996)
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- Source
- Communications of the Association for Computing Machinery. 39(1996) no.1, S.92-101
-
Guthrie, L.; Pustejovsky, J.; Wilks, Y.; Slator, B.M.: ¬The role of lexicons in natural language processing (1996)
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- Source
- Communications of the Association for Computing Machinery. 39(1996) no.1, S.xx-xx
-
Wiebe, J.; Hirst, G.; Horton, D.: Language use in context (1996)
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- Source
- Communications of the Association for Computing Machinery. 39(1996) no.1, S.xx-xx
-
Czejdo. B.D.; Tucci, R.P.: ¬A dataflow graphical language for database applications (1994)
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- Abstract
- Discusses a graphical language for information retrieval and processing. A lot of recent activity has occured in the area of improving access to database systems. However, current results are restricted to simple interfacing of database systems. Proposes a graphical language for specifying complex applications
- Source
- CIT - Journal of computing and information technology. 2(1994) no.1, S.39-50
-
Yeap, W.K.: Computing rich semantic models of text in legal domains (1998)
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- Abstract
- The richness provided in a deep demantic model of text is appealing and yet few such models have been developed. Considers the problems with existing practical natural language processing (NLP) systems and the difficulties in developing such a model. Argues that a possible solution must focus on the reasoning process using knowledge of words rather than the use of other mechanisms and especially those that speed up the pre processing stage. Suggests also that computing representations of text that are transcripts of judges' oral reports on Family Law cases is a challenging text area for these techniques
-
Paice, C.D.: Method for evaluation of stemming algorithms based on error counting (1996)
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- Abstract
- Assesses the effectiveness of stemming algorithms by counting the number of identifiable errors during the stemming of words from various text samples. This entails manual groupings of the words in each sample using software developed for this purpose, stemming the words and computing indeices which represent the rate of understemming and overstemming. Presents the results for 3 stemmers (Lovins, Porter, and Paice/Husk), in each case using 3 text samples
- Source
- Journal of the American Society for Information Science. 47(1996) no.8, S.632-649
-
Litkowski, K.C.: Category development based on semantic principles (1997)
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- Abstract
- Describes the beginnings of computerized information retrieval and text analysis, particularly from the perspective of the use of thesauri and cataloguing systems. Describes formalisations of linguistic principles in the development of formal grammars and semantics. Presents the principles for category development, based on research in linguistic formalism continuing with ever richer grammars and semantic formalism. Descrines the progress of these formalisms in the examiniation of the categories used in Minnesota Contextual Content Analysis approach. Describes current research toward an integration of semantic principles into content analysis abstraction procedures for characterising the category of any text
- Footnote
- Contribution to a symposium based on presentations made at a panel of the 7th annual Conference of the Social Science Computing Association entitled Possibilities in Computer Content Analysis of Text, Minneapolis, Minnesota, USA, 1996
-
Proszeky, G.: Language technology tools in the translator's practice (1999)
0.06
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- Source
- Journal of computing and information technoloyg. 7(1999) no.3, S.221-227
-
Dunning, T.: Statistical identification of language (1994)
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- Abstract
- A statistically based program has been written which learns to distinguish between languages. The amount of training text that such a program needs is surprisingly small, and the amount of text needed to make an identification is also quite small. The program incorporates no linguistic presuppositions other than the assumption that text can be encoded as a string of bytes. Such a program can be used to determine which language small bits of text are in. It also shows a potential for what might be called 'statistical philology' in that it may be applied directly to phonetic transcriptions to help elucidate family trees among language dialects. A variant of this program has been shown to be useful as a quality control in biochemistry. In this application, genetic sequences are assumed to be expressions in a language peculiar to the organism from which the sequence is taken. Thus language identification becomes species identification.
- Series
- Technical report CRL MCCS-94-273, Computing Research Lab, New Mexico State University
-
From information to knowledge : conceptual and content analysis by computer (1995)
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- Content
- SCHMIDT, K.M.: Concepts - content - meaning: an introduction; DUCHASTEL, J. et al.: The SACAO project: using computation toward textual data analysis; PAQUIN, L.-C. u. L. DUPUY: An approach to expertise transfer: computer-assisted text analysis; HOGENRAAD, R., Y. BESTGEN u. J.-L. NYSTEN: Terrorist rhetoric: texture and architecture; MOHLER, P.P.: On the interaction between reading and computing: an interpretative approach to content analysis; LANCASHIRE, I.: Computer tools for cognitive stylistics; MERGENTHALER, E.: An outline of knowledge based text analysis; NAMENWIRTH, J.Z.: Ideography in computer-aided content analysis; WEBER, R.P. u. J.Z. Namenwirth: Content-analytic indicators: a self-critique; McKINNON, A.: Optimizing the aberrant frequency word technique; ROSATI, R.: Factor analysis in classical archaeology: export patterns of Attic pottery trade; PETRILLO, P.S.: Old and new worlds: ancient coinage and modern technology; DARANYI, S., S. MARJAI u.a.: Caryatids and the measurement of semiosis in architecture; ZARRI, G.P.: Intelligent information retrieval: an application in the field of historical biographical data; BOUCHARD, G., R. ROY u.a.: Computers and genealogy: from family reconstitution to population reconstruction; DEMÉLAS-BOHY, M.-D. u. M. RENAUD: Instability, networks and political parties: a political history expert system prototype; DARANYI, S., A. ABRANYI u. G. KOVACS: Knowledge extraction from ethnopoetic texts by multivariate statistical methods; FRAUTSCHI, R.L.: Measures of narrative voice in French prose fiction applied to textual samples from the enlightenment to the twentieth century; DANNENBERG, R. u.a.: A project in computer music: the musician's workbench
-
Hutchins, W.J.; Somers, H.L.: ¬An introduction to machine translation (1992)
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- Abstract
- The translation of foreign language texts by computers was one of the first tasks that the pioneers of Computing and Artificial Intelligence set themselves. Machine translation is again becoming an importantfield of research and development as the need for translations of technical and commercial documentation is growing well beyond the capacity of the translation profession.This is the first textbook of machine translation, providing a full course on both general machine translation systems characteristics and the computational linguistic foundations of the field. The book assumes no previous knowledge of machine translation and provides the basic background information to the linguistic and computational linguistics, artificial intelligence, natural language processing and information science.
-
New tools for human translators (1997)
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- Abstract
- A special issue devoted to the theme of new tools for human tranlators
- Date
- 31. 7.1996 9:22:19
-
Possibilities in computer content analysis of text (1997)
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- Footnote
- A symposium based on presentations made at a panel of the 7th annual Conference of the Social Science Computing Association entitled Possibilities in Computer Content Analysis of Text, Minneapolis, Minnesota, USA, 1996
-
Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991)
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- Date
- 8.10.2000 11:52:22
-
Sabah, G.: Knowledge representation and natural language understanding (1993)
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- Abstract
- Describes the basic artificial intelligence techniques in linguistic knowledge processing which attempts to get machines to understand natural languages. Focusses on how computing techniques can model the communication process. Briefly examines the theoretical and practical importance of this field. Introduces a sample of theories used to represent linguistic knowledge. Present semantic representations (various logics and semantic networks) and examines pragmatic aspects of communication (of discourse analysis). Describes parsing systems. Addresses architectural issues. Shows why Distributed Artificial Intelligence and reflective systems offers the best framework taking examples from the CARAMEL (Comprehension Automatique de Recites, Apprentissage et Modelisation des Exchanges langagiers)
-
Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999)
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- Date
- 15. 3.2000 10:22:37
-
Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996)
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- Abstract
- AutoSlog is a system that addresses the knowledge engineering bottleneck for information extraction. AutoSlog automatically creates domain specific dictionaries for information extraction, given an appropriate training corpus. Describes experiments with AutoSlog in terrorism, joint ventures and microelectronics domains. Compares the performance of AutoSlog across the 3 domains, discusses the lessons learned and presents results from 2 experiments which demonstrate that novice users can generate effective dictionaries using AutoSlog
- Date
- 6. 3.1997 16:22:15
