Produktivität und Idiomatizität von Präposition-Substantiv-Sequenzen

2007 ◽  
Vol 26 (2) ◽  
Author(s):  
Tibor Kiss
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Point Of View ◽  
Fundamental Properties ◽  
Combining Evidence ◽  
Statistical Natural Language Processing ◽  
German Newspaper ◽  
Empirical Point

AbstractThe present paper discusses two fundamental properties of so-called determinerless PPs, their idiomaticity and productivity. Combining evidence from German newspaper corpora with methods from statistical natural language processing, we can show that determinerless PPs are no more idiomatic that ordinary phrasal combinations in general. From an empirical point of view determinerless PPs can be classified as productive. Consequently determinerless PPs should not be treated as idiomatic exceptions, which can be covered by finite lists.

Natural Language Processing

1996 ◽  
Vol 16 ◽  
pp. 70-85 ◽  
Author(s):  
Thomas C. Rindflesch
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Computational Linguistics ◽  
Language Processing ◽  
Domain Knowledge ◽  
The State ◽  
Point Of View ◽  
Computer Applications ◽  
Significant Progress ◽  
Future Directions

Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understanding of natural language has not been commensurate with progress in other computer applications. Recently, a number of prominent researchers in natural language processing met to assess the state of the discipline and discuss future directions (Bates and Weischedel 1993). The consensus of this meeting was that increased attention to large amounts of lexical and domain knowledge was essential for significant progress, and current research efforts in the field reflect this point of view.

Appearance of New Terms in Accounting Language: A Preliminary Examination of Accounting Pronouncements and Financial Statements

2008 ◽  
Vol 5 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Margaret R. Garnsey ◽  
Ingrid E. Fisher
Keyword(s):  
Information Retrieval ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Preliminary Analysis ◽  
Financial Statements ◽  
Preliminary Examination ◽  
Statistical Natural Language Processing ◽  
Processing Techniques ◽  
Initial Results

ABSTRACT: Accounting language evolves as the transactions and organizations it provides guidance for change. We provide a preliminary analysis of terms used in official accounting pronouncements and annual corporate financial statements. Initial results show statistical natural language-processing techniques provide a means of identifying new terms as they enter the lexicon. These techniques should be valuable in deriving a complete accounting lexicon as well as in constructing and maintaining an accounting thesaurus to support information retrieval.

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