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Browsing M.S. Theses by Author "Güngör, Tunga."

Browsing M.S. Theses by Author "Güngör, Tunga."

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  • Morphological annotation of a corpus with a collaborative multiplayer game 
    Güngör, Onur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In most of the natural language processing tasks, state of the art systems usually rely on machine learning methods for building their mathematical models. Given that the majority of these systems employ supervised learning ...
  • Morphologically motivated input variations in Turkish - English neural machine translation 
    Yirmibeşoğlu, Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Success of neural networks in natural language processing has paved the way for neural machine translation (NMT), which rapidly became the mainstream approach in machine translation. Tremendous improvement in translation ...
  • Multilingual identification of verbal multiword expressions using bidirectional long short-term memory based architectures 
    Berk, Gözde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Verbal multiword expression (VMWE) identi cation is a challenging task for many natural language processing studies. In this study, sequence tagging approach accompanied with stochastic models and variants of IOB tagging ...
  • Named entity recognition in Turkish using deep learning models and joint learning 
    Akdemir, Arda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Named Entity Recognition (NER) is the task of detecting and categorizing the entities in a given text. It is an important task in Natural Language Processing (NLP) and forms the basis of many NLP systems. Previous work on ...
  • Parser evaluation using textual entailments 
    Eker, Önder. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Syntactic parsing is a basic problem in natural language processing. It can be de ned as assigning a structure to a sentence. Two prevalent approaches to parsing are phrase-structure parsing and dependency parsing. A related ...
  • Question analysis and information retrieval for a Turkish question answering system: 
    Derici, Caner. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    This study describes and evaluates the techniques we developed for the question analysis and information retrieval (IR) module of a closed-domain Turkish factoid Question Answering (QA) system that is intended for high-school ...
  • Solving Turkish math word problems by sequence-to-sequence encoder-decoder models 
    Gedik, Esin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    It can be argued that solving math word problems (MWP) is a challenging task due to the semantic gap between natural language texts and mathematical equations. The main purpose of the task is to take a written math problem ...
  • Theme supervised nonnegative matrix factorization for topic modeling 
    Suyunu, Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Topic models are often used to organize and interpret large and unstructured corpora of text documents. They try to explain the topics that constitute the semantic infrastructure of the document sets and try to find the ...
  • Time efficient spam e-mail filtering for Turkish 
    Çıltık, Ali. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In the present thesis, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is referred to as the first n-words ...
  • Using genetic algorithms with lexical chains for automatic text summarization 
    Berker, Mine. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    With the rapid increase in the amount of online text information, it became more important to have tools that would help users distinguish the important content. Automatic text summarization attempts to address this problem ...

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