Ara
Toplam kayıt 158, listelenen: 151-158
Morphological analyser for Turkish
(Işık Üniversitesi, 2018-01-25)
Natural Language Processing is one one the fields of work in computer science and specializes in text summarization, machine translation and many various topics. Morphology is one of the Natural Language Processing features ...
Semantic role labeling for Turkish propbank
(Işık Üniversitesi, 2019-09-06)
People's communication with each other takes place through sentences that combine words with different purposes. Words can gain different meanings with the presence of other words in the sentences in which they take place. ...
Rule-based chunking of semantic roles for Turkish
(Işık Üniversitesi, 2018-01-24)
In our work, we approached to semantic role labeling from a different angle. Contrary to related works, which focused on determining single role like noun phrase or predicate, we worked on all of the roles. We claim that, ...
Fabric defect detection in frequency domain using fourier analysis
(Işık Üniversitesi, 2016)
An overwhelming majority of image processing based defect detection approaches rely on machine learning methods to train a model for comparison of test examples. This requires a training phase for each item to be learned ...
Graph clustering approach to sentiment analysis
(Işık Üniversitesi, 2018-01-24)
In this thesis, we aim at automatically predicting Turkish movie review scores using adjective clustering. We also measured the reliability of the two popular sentiment lexicons. In order to measure the agreement between ...
Sense distinction using computational methods in Turkish dictionaries
(Işık Üniversitesi, 2018-01-25)
NLP(Natural Language Processing) refers to general name of the study elds related with processing languages by using computer-based systems. In NLP studies, dictionaries are required as lexical and semantic resources. ...
Prosodic, morphological and lexical feature extraction of Turkish broadcast news data
(Işık Üniversitesi, 2014-06-05)
Sentence segmentation from speech is part of a process that aims at enriching the unstructured stream of words that are the output of standard speech recognizers. Its role is to find the sentence units in this stream of ...
Improving search engine performance with context extraction using Lucene, DBPedia-Spotlight, and Wordnet
(Işık Üniversitesi, 2014)
Search engines are common tools which retrieve information from considerable amount of data according to the user needs. The data size that needs to be handled and retrieving relevant information, are the main problems of ...