LATİS TABANLI ANLAM ÇÖZÜMLENMESİ İLE TÜRKÇE İŞARET DİLİ TERCÜME SİSTEMİ

Year 2018, , 490 - 503, 20.07.2018

Yelda Fırat Taşkın Uğurlu

https://doi.org/10.28948/ngumuh.443157

Cited By: 2

Abstract

Günlük hayatta insanlar;
fikirlerini, düşüncelerini ve yaşadıklarını çevrelerindeki insanlara iletmek
için birbirleriyle etkileşirler. İşitme ve konuşma engelli insanlar ise
çevreleriyle bu etkileşimi sağlayamazlar. Başkalarıyla iletişim kurmak için
işaret dilini kullanırlar. İşaret dili ise, işitme
ve konuşma engellilerin kendi aralarında el hareketleri ve yüz mimikleri ile iletişim
kurmalarını sağlayan ülkeden ülkeye değişen evrensel olmayan bir dildir. Bu
anlamda yapılan çalışmanın amacı, işitme ve konuşma bozukluğu olan kişilerle
normal insanlar arasındaki iletişimi sağlayan Türkçe İşaret Dili tercüme sistemini geliştirmektir. Önerilen bu
sistemle işaret dilini gösteren el hareketleri,
Kinect aygıtı yardımıyla yakalanarak Kontur Analizinde kullanılan algoritmalarla
çözümlenmiştir. Çözümlenen görüntülerden elde edilen kelimelerin gerçek anlamları,
Biçimsel Kavram Analizi Kuramı çerçevesinde hazırlanan tematik rol latisleriyle
bulunmuştur. Gerçek anlamları bulunan bu kelimeler, içinde geçtikleri
cümlelerle birlikte bilgisayar ekranında görüntülenmiştir. Böylece bu sistemle,
engelli bir kişinin kitlesel bir kalabalıkla iletişim kurabilmesi sağlanmıştır.
Ayrıca geliştirilen bu sistemle Türkçe’nin anlamsal çözümlenmesine de katkı
sağlanması hedeflenmiştir.

Keywords

Biçimsel kavram analizi, işaret dili tanımlama, kinect, kontur analizi, tematik rol latisleri

TURKISH SIGN LANGUAGE TRANSLATION SYSTEM WITH A LATTICE-BASED SEMANTIC ANALYSIS

Abstract

In daily life people interact with each
other to communicate their ideas, thoughts and experiences to the people around
them. On the other hand, people with hearing and speech impairments are not
capable of communicating with their environment in the given sense. Thus, they
use sign language to communicate with others. Sign language is a non-universal
language that changes depending on the country in which it's being used and
enables people with hearing and speech impairments to communicate with other
people through hand gestures and facial expressions. In this sense, the aim of
the study is to develop Turkish Sign Language translation system that enables
communication between people with speech and hearing impairments and healthy
people. With this proposed system, the hand movements showing sign language are
captured with the help of Kinect device and analyzed with the algorithms used
in Contour Analysis. Actual meanings of the words obtained from the analyzed
images were found thematic role lattices that are prepared in the frame of
Formal Concept Analysis theory. The words of which actual meanings were found
are displayed with the sentences in which they were used. Therefore, thanks to
this system it is ensured that a disabled person can communicate with a mass
crowd. The developed system also aims to contribute to the semantic analysis of
the Turkish Language.

Keywords

Formal concept analysis, sign language recognition, kinect, contour analysis, thematic role lattices

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