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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text Cowie, James; Helmreich, Stephen; Dang, Hung H. In: DTIC (2009) BASE Show details 2 Evaluating Online Health Information: Beyond Readability Formulas Leroy, Gondy; Helmreich, Stephen; Cowie, James R.. - : American Medical Informatics Association, 2008 BASE Show details 3 Embedded MT systems, part 3 : elicitation MT Voss, Clare (Hrsg.); Ess-Dykema, Carol van (Hrsg.); Probst, Katharina (Mitarb.)... In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 17 (2002) 3, 245-319 BLLDB Show details 4 Embedding Knowledge Elicitation and MT Systems within a Single Architecture Mcshane, Marjorie; Nirenburg, Sergei; Cowie, James... In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 17 (2002) 4, 271-306 OLC Linguistik Show details 5 Automatic Analysis of Descriptive Texts Cowie,James R. In: DTIC AND NTIS (1983) Abstract: This paper describes a system that attempts to interpret descriptive texts without the use of complex grammars. The purpose of the system is to transform the descriptions to a standard form which may be used as the basis of a database system knowledgeable in the subject matter of the text. The texts currently used are wild plant descriptions taken directly from a popular book on the subject. Properties such as size, shape and colour are abstracted from the descriptions and related to parts of the plant in which we are interested. The resulting output is a standardised hierarchical structure holding only significant features of the description. The system, implemented in the PROLOG programming language, uses keywords to identify the way segments of the text relate to the object described. About half the texts processed are correctly analysed at present. ; This article is from 'Proceedings of the Conference on Applied Natural Language Processing Held at Santa Monica, California on 1-3 February 1983,' AD-A129 824. Keyword: *Artificial intelligence; *Computers; *Text processing; Abstracts; Component reports; Computational linguistics; Dictionaries; Hierarchies; Index terms; Machine translation; Natural language; Output; Programming languages; Symposia; Syntax; Word lists; Word recognition URL: http://www.dtic.mil/docs/citations/ADP001177 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP001177 BASE Hide details 6 THE BRITISH COMPUTER SCENE, PART IV, THE UNIVERSITIES. Cowie, James; Hemann, John W.; Maycock, Paul D. In: DTIC AND NTIS (1967) BASE Show details

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