Arama Sonuçları

Listeleniyor 1 - 10 / 11
  • Yayın
    Visual modeling of Turkish morphology
    (European Language Resources Association (ELRA), 2020-05-16) Özenç, Berke; Solak, Ercan
    In this paper, we describe the steps in a visual modeling of Turkish morphology using diagramming tools. We aimed to make modeling easier and more maintainable while automating much of the code generation. We released the resulting analyzer, MorTur, and the diagram conversion tool, DiaMor as free, open-source utilities. MorTur analyzer is also publicly available on its web page as a web service. MorTur and DiaMor are part of our ongoing efforts in building a set of natural language processing tools for Turkic languages under a consistent framework.
  • Yayın
    Kural bazlı otomatik haber etiketleme
    (IEEE, 2017-06-27) Özenç, Berke; Solak, Ercan
    Bu çalışmada , genel ağ kaynaklarından haber toplayan ve topladığı bu haberleri otomatik olarak etiketleyen kural tabanlı bir uygulama yapılmıştır. Çalışmanın alt amacı hangi özelliklerin etiket belirleme işine daha uygun olduğunu ölçmektir. Elle etiketlenmiş 100 haber üzerinde her bir kuralın başarısı oranı ölçülmüştür.
  • Yayın
    Breaking an orbit-based symmetric cryptosystem
    (Pergamon-Elsevier Science Ltd, 2011-09) Solak, Ercan; Rhouma, Rhouma; Belghith, Safya Mdimegh
    We report a break for a recently proposed class of cryptosystems. The cryptosystem uses constant points of a periodic secret orbit to encrypt the plaintext. In order to break the system, it suffices to sort the constant points and find the initial fixed point. We also report breaks for modified versions of the cryptosystem. In addition, we discuss some efficiency issues of the cryptosystem.
  • Yayın
    Bilingual software requirements tracing using vector space model
    (SciTePress, 2014) Yıldız, Olcay Taner; Okutan, Ahmet; Solak, Ercan
    In 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
    MorAz: An open-source morphological analyzer for Azerbaijani Turkish
    (Association for Computational Linguistics (ACL), 2018) Özenç, Berke; Ehsani, Razieh; Solak, Ercan
    MorAz is an open-source morphological analyzer for Azerbaijani Turkish. The analyzer is available through both as a website for interactive exploration and as a RESTful web service for integration into a natural language processing pipeline. MorAz implements the morphology of Azerbaijani Turkish following a two-level approach using Helsinki finite-state transducer and wraps the analyzer with python scripts in a Django instance.
  • Yayın
    Kaotik kriptografinin çilesi
    (IEEE, 2013-06-13) Solak, Ercan
    Son yirmi yıldır araştırılan bir konu olmasına rağmen, kaotik kriptografi ana akım kriptografi literatüründe yer almıyor. Bu makalede, bu ayrımın nedenleri üzerinde durulmuştur.
  • Yayın
    An experimental evaluation of prior polarities in sentiment lexicons
    (IEEE, 2017) Kanburoğlu, Ali Buğra; Solak, Ercan
    We present the results of an experiment to assess the validity of prior polarities available in sentiment lexicons. We designed a ranking task that was elicited through pairwise comparisons and compared the results to those predicted by two popular sentiment lexicons. We find that the experiment results show a moderate level of agreement between the lexicons and human judgments.
  • Yayın
    A FST description of noun and verb morphology of Azarbaijani Turkish
    (Association for Computational Linguistics (ACL), 2021) Ehsani, Razieh; Özenç, Berke; Solak, Ercan; Drewes F.
    We give a FST description of nominal and finite verb morphology of Azarbaijani Turkish. We use a hybrid approach where nominal inflection is expressed as a slot-based paradigm and major parts of verb inflection are expressed as optional paths on the FST. We collapse adjective and noun categories in a single nominal category as they behave similarly as far as their paradigms are concerned. Thus, we defer a more precise identification of POS to further down the NLP pipeline.
  • Yayın
    Constructing a Turkish-English parallel treebank
    (Association for Computational Linguistics (ACL), 2014) Yıldız, Olcay Taner; Solak, Ercan; Görgün, Onur; Ehsani, Razieh
    In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences from Penn Treebank. English sentences in our set have a maximum of 15 tokens, including punctuation. We constrained the translated trees to the reordering of the children and the replacement of the leaf nodes with appropriate glosses. We also report the tools that we built and used in our tree translation task.
  • Yayın
    Cryptanalysis of image encryption with compound chaotic sequence
    (IEEE, 2009) Solak, Ercan
    Recently, an image encryption algorithm based on compound chaotic sequence was proposed [Tong et al., Image and Vision Computing 26 (2008) 843]. In this paper, we analyze the security weaknesses of the proposal. We give chosen-plaintext and known-plaintext attacks that yield the secret parameters of the algoritm. Our simulation results show that the computational complexity of the attacks is quite low.