Murathan Kurfali

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In this paper we present the recent developments on Turkish Discourse Bank (TDB). We first summarize the resource and present an evaluation. Then, we describe TDB 1.1, i.e. enrichments on 10% of the corpus (namely, added senses for explicit discourse connectives and new annotations for implicit relations, entity relations and alternative lexicalizations).(More)
Sparsity is one of the major problems in natural language processing. The problem becomes even more severe in agglutinating languages that are highly prone to be inflected. We deal with sparsity in Turkish by adopting morphological features for part-of-speech tagging. We learn inflectional and derivational morpheme tags in Turkish by using conditional(More)
This study primarily aims to build a Turkish psycholinguistic database including three variables: word frequency, age of acquisition (AoA), and imageability, where AoA and imageability information are limited to nouns. We used a corpus-based approach to obtain information about the AoA variable. We built two corpora: a child literature corpus (CLC)(More)
In this paper, we introduce a trie-structured Bayesian model for unsupervised morphological segmentation. We adopt prior information from different sources in the model. We use neural word embeddings to discover words that are morphologically derived from each other and thereby that are semantically similar. We use letter successor variety counts obtained(More)
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