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Investigation of Zipf's 'law-of-meaning' on Turkish corpora
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2007)
Zipf's law-of-meaning states that the number of meanings of a word is related to its frequency. Words that are seen more frequently tend to have more meanings than the ones that are seen less frequently. This law, like the ...
A Comparative Study to Determine the Effective Window Size of Turkish Word Sense Disambiguation Systems
(Springer, 233 Spring Street, New York, Ny 10013, United States, 2013)
In this paper, the effect of different windowing schemes on word sense disambiguation accuracy is presented. Turkish Lexical SampleDataset has been used in the experiments. We took the samples of ambiguous verbs and nouns ...
Building up lexical sample dataset for Turkish word sense disambiguation
Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All ...
Face Detection & Recognition for Automatic Attendence System
Human face recognition is an important part of biometric verification. The methods for utilizing physical properties, such as human face have seen a great change since the emergence of image processing techniques. Human ...
The impact of collocational features in Turkish Word Sense Disambiguation.
Word Sense Disambiguation (WSD) is the task of choosing the most appropriate sense of a word having multiple senses in a given context. Collocational features acquired from the words in neighborship with the ambiguous word ...
A Survey on White Box Cryptography Model for Mobile Payment Systems
The technology is showing rapid development and these developments are changing our lives, our habits, and our needs. As electronic devices, which are indispensable for our daily lives, continue to be intelligent, we are ...
Assistant Assignment to Final Exams
Multi-document summarization for Turkish news
(IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
In this paper, we introduce our multi-document summarization system for Turkish news. The aim of the summarization system is to build a single document for multi document news that have been collected previously. The news ...