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Yayın Bilingual software requirements tracing using vector space model(SciTePress, 2014) Yıldız, Olcay Taner; Okutan, Ahmet; Solak, ErcanIn the software engineering world, creating and maintaining relationships between byproducts generated during the software lifecycle is crucial. A typical relation is the one that exists between an item in the requirements document and a block in the subsequent system design, i.e. class in the source code. In many software engineering projects, the requirement documentation is prepared in the language of the developers, whereas developers prefer to use the English language in the software development process. In this paper, we use the vector space model to extract traceability links between the requirements written in one language (Turkish) and the implementations of classes in another language (English). The experiments show that, by using a generic translator such as Google translate, we can obtain promising results, which can also be improved by using comment info in the source code.Yayın Shallow parsing in Turkish(IEEE, 2017) Topsakal, Ozan; Açıkgöz, Onur; Gürkan, Ali Tunca; Kanburoğlu, Ali Buğra; Ertopçu, Burak; Özenç, Berke; Çam, İlker; Avar, Begüm; Ercan, Gökhan; Yıldız, Olcay TanerIn this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish.Yayın Türkçe anlamsal söylem ve cümle benzerliği analizleri için veri kümesi oluşturma yöntemi(IEEE, 2018-12-06) Ercan, Gökhan; Erkek, Orçun; Açıkgöz, Onur; Özçelik, Rıza; Parlar, Selen; Yıldız, Olcay TanerÇalışmamızın amacı Türkçe için paragraf-cümle düzeyinde anlamsal söylem analizi ve paragraf-cümle ve cümle-cümle düzeyinde metinsel benzerlik ölçümlemesi için bir veri kümesi hazırlamaktır.
