Yıl 2020, Cilt 8 , Sayı 1, Sayfalar 262 - 272 2020-03-20

F KLAVYE İÇİN METİN ANALİZİ TABANLI KELİME TAMAMLAMA SİSTEMİ
TEXT ANALYSIS BASED WORD COMPLETION SYSTEM FOR F KEYBOARD

Bergen Karabulut [1] , Halil Murat Ünver [2]


Kelime tamamlama, kullanıcının basması gereken tuş sayısını azaltmayı hedefleyen bir yardımcı teknoloji aracıdır. İlk çalışmalarda, genellikle bir alternatif ve destekleyici iletişim aracı olarak ele alınmıştır. Fakat son dönemlerde kelime tamamlama sistemleri; mobil cihazlar, makine çevirisi ve arama motorları gibi farklı alanlarda da önem kazanmıştır. Bu çalışmada, Standart Türkçe Klavye olan F klavye için metin analizi tabanlı bir kelime tamamlama sistemi geliştirilmiştir. Geliştirilen sistemi test etmek için zabıt kâtiplerinin yoğun klavye kullanımından dolayı Adalet Bakanlığı tarafından yapılan zabıt kâtipliği sınavlarına ait 160 metin kullanılmıştır. Bu metinlerdeki kelimelerin unigram ve bigram frekansları çıkarılmış ve bir veritabanında tutulmuştur. Sistem, bu veritabanını kullanarak yazma işlemi esnasında kullanıcıya 8 adet alternatif kelimeden oluşan bir tahmin listesi sunmaktadır. Tanımlanan tuş kombinasyonları yardımıyla kullanıcı tahmin listesinden bir kelime seçebilmekte ve seçilen kelime sistem tarafından otomatik olarak tamamlanmaktadır. Geliştirilen sistemin performansı tuşlama tasarrufu açısından değerlendirilmiştir. Tüm metinler arasından rastgele seçilen 15 metin ile yapılan test işleminde ortalama %50,98 tuşlama tasarrufu sağlanmıştır. 

Word completion is an assistive technology tool that aims to reduce the number of keys that the user must press. In early studies, it generally handled as an augmentative and alternative communication tool. However, recently word completion systems have also gained importance in different fields such as mobile devices, machine translation and search engines. In this study, a word completion system based on text analysis was developed for F keyboard, Standard Turkish Keyboard. 160 texts of clerk recruitment exams performed by the Ministry of Justice were used to test the developed system due to the intensive keyboard use of the court–house employees. Words’ unigram and bigram frequencies of these texts were extracted and stored in a database. By using this database, the system presents a prediction list of 8 alternative words to the user during the writing process. With the help of defined key combinations, the user can select a word from the prediction list and the selected word is completed automatically by the system. The performance of the system was evaluated in terms of keystroke saving. 50.98% of average keystroke saving rate was provided at the test process done with 15 randomly selected texts among the all texts. 

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Birincil Dil tr
Konular Bilgisayar Bilimleri, Bilgi Sistemleri
Yayımlanma Tarihi 2020 Mart 8(1)
Bölüm Araştırma Makalesi \ Research Makaleler
Yazarlar

Orcid: 0000-0003-0755-1289
Yazar: Bergen Karabulut (Sorumlu Yazar)
Ülke: Turkey


Orcid: 0000-0001-9959-8425
Yazar: Halil Murat Ünver
Ülke: Turkey


Tarihler

Başvuru Tarihi : 9 Mart 2018
Kabul Tarihi : 27 Kasım 2019
Yayımlanma Tarihi : 20 Mart 2020

APA Karabulut, B , Ünver, H . (2020). F KLAVYE İÇİN METİN ANALİZİ TABANLI KELİME TAMAMLAMA SİSTEMİ. Mühendislik Bilimleri ve Tasarım Dergisi , 8 (1) , 262-272 . DOI: 10.21923/jesd.403854