ERIC Number: ED031270
Record Type: RIE
Publication Date: 1966-Jun
Reference Count: N/A
Linguistics and Information Retrieval.
This paper is concerned primarily with the structure of language and how knowledge about this structure can lead to improved automated information retrieval. The paper discusses developments in linguistics and the application of linguistics to information retrieval, especially fact retrieval and indexing. For fact retrieval it is proposed that both data facts and search requests inserted into the system undergo transformations which convert the information into the form of active, declarative sentences. Then the system could use a matching procedure to arrive at data facts from the search requests. For automatic indexing, an approach based on previous research indicating that prepositions (in, for, by, etc.) play an important role in the shift from one discursive phrase to the next in the text or in a title is used. Thus, prepositions and other low-information content words as well as punctuation marks are used to recognize automatically where one phrase ends and the next begins. The resulting phrases are then manipulated for indexing purposes. Experiments with this "prepositional phrase-shifting" were conducted on the German language. (RM)
Descriptors: Automation, Computational Linguistics, Generative Grammar, Indexing, Information Retrieval, Linguistics, Syntax
Clearinghouse for Federal Scientific and Technical Information, Springfield, Va. 22151 (PB 179 812, MF-$0.65; HC-$3.00)
Publication Type: N/A
Education Level: N/A
Authoring Institution: General Dynamics, San Diego, CA. Convair Div.