Browsing by Author "Karaoğlan B."

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Citation - Scopus: 1
Combining Machine Translation and Text Similarity Metrics To Identify Paraphrases in Turkish
(Institute of Electrical and Electronics Engineers Inc., 2018) Soleymanzadeh K.; Karaoğlan B.; Metin S.K.; Kişla T.
Paraphrase identification (PI) is to recognize whether given two sentences are restatements of each other or not. In our study we propose an approach that exploits machine translation and text similarity metrics as features for PI. Machine learning algorithms like Support Vector Machine (SVM) with three different kernels, C4.5 Decision tree and Multinomial Naïve Bayes (NB) are trained with these features. We evaluated our system on Parder, Turkish paraphrase corpus. The experimental results show that the proposed approach offers state-of-the-art results. © 2018 IEEE.
Citation - WoS: 3
Citation - Scopus: 6
Identifying Collocations in Turkish Using Statistical Methods
(Ahmet Yesevi University, 2016) Metin, S.K.; Karaoğlan B.
Collocation is the combination of words in which words appear together more often than by chance in order to create a block of meaning. Since the extraction of collocations provides many benefits in automatic processing, translation of Turkish texts and in learning Turkish, it is an important issue in Turkish natural language processing. In this study several statistical techniques, including occurrence frequency, pointwise mutual information and hypothesis tests, are applied on Turkey Turkish corpus to automatically identify collocations. We have utilized both stemmed and surface forms of words in order to explore the effect of stemming in collocation extraction. The techniques are evaluated using the F-measure. The chi-square hypothesis test and pointwise mutual information methods have produced better results compared to other methods. In addition, we have observed that when words are stemmed, methods which may be considered as successful in collocation extraction may be more clearly discriminated. © 2016, Ahmet Yesevi University. All rights reserved.