Ekmekcioglu, F.C.; Lynch, M.F.; Willet, P.: Development and evaluation of conflation techniques for the implementation of a document retrieval system for Turkish text databases (1995)
0.00
0.0026066122 = product of:
0.023459509 = sum of:
0.023459509 = weight(_text_:of in 5797) [ClassicSimilarity], result of:
0.023459509 = score(doc=5797,freq=20.0), product of:
0.061340384 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.039226282 = queryNorm
0.38244802 = fieldWeight in 5797, product of:
4.472136 = tf(freq=20.0), with freq of:
20.0 = termFreq=20.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0546875 = fieldNorm(doc=5797)
0.11111111 = coord(1/9)
- Abstract
- Considers language processing techniques necessary for the implementation of a document retrieval system for Turkish text databases. Introduces the main characteristics of the Turkish language. Discusses the development of a stopword list and the evaluation of a stemming algorithm that takes account of the language's morphological structure. A 2 level description of Turkish morphology developed in Bilkent University, Ankara, is incorporated into a morphological parser, PC-KIMMO, to carry out stemming in Turkish databases. Describes the evaluation of string similarity measures - n-gram matching techniques - for Turkish. Reports experiments on 6 different Turkish text corpora
- Source
- New review of document and text management. 1995, no.1, S.131-146