Towards combining rule-based and statistical part of speech tagging in agglutinative languages. Altunyurt, L., Orhan, Z., & Güngör, T. Technical Report 2007. Paper abstract bibtex We present a composite part of speech tagger for Turkish which combines the rule-based and statistical approaches. The tagger makes use of word frequencies and n-gram statistics from a corpus. We use the output of a morphological analyzer in order to get more accurate results and also to eliminate the sparse data problem. In addition, we employ a heuristics about the position of words in the sentences. Although the experiments have been performed on a very small corpus, the results have shown that the use of a composite approach and heuristics improves the accuracy of the tagger. Keywords: agglutinative language, part of speech tagger, rule-based and statistical method
@techreport{
title = {Towards combining rule-based and statistical part of speech tagging in agglutinative languages},
type = {techreport},
year = {2007},
source = {Computer engineering},
volume = {1},
issue = {1},
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accessed = {2019-10-12},
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abstract = {We present a composite part of speech tagger for Turkish which combines the rule-based and statistical approaches. The tagger makes use of word frequencies and n-gram statistics from a corpus. We use the output of a morphological analyzer in order to get more accurate results and also to eliminate the sparse data problem. In addition, we employ a heuristics about the position of words in the sentences. Although the experiments have been performed on a very small corpus, the results have shown that the use of a composite approach and heuristics improves the accuracy of the tagger. Keywords: agglutinative language, part of speech tagger, rule-based and statistical method},
bibtype = {techreport},
author = {Altunyurt, Levent and Orhan, Zihni and Güngör, Tunga}
}
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