Morpholex Turkish: A Morphological Lexicon for Turkish
MorphoLex is a study in which root, prefix and suffixes of words are analyzed. With MorphoLex, many words can be analyzed according to certain rules and a useful database can be created. Due to the fact that Turkish is an agglutinative language and the richness of its language structure, it offers different analyzes and results from previous studies in MorphoLex. In this study, we revealed the process of creating a database with 48,472 words and the results of the differences in language structure.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
An Open, Extendible, and Fast Turkish Morphological Analyzer
In this paper, we present a two-level morphological analyzer for Turkish. The morphological analyzer consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, a…
Morphological AnalysisA Syntactically Expressive Morphological Analyzer for Turkish
We present a broad coverage model of Turkish morphology and an open-source morphological analyzer that implements it. The model captures intricacies of Turkish morphology-syntax interface, thus could be used as a baselin…
Language ModelingLanguage ModellingDeveloping a Comprehensive Framework for Sentiment Analysis in Turkish
In this thesis, we developed a comprehensive framework for sentiment analysis that takes its many aspects into account mainly for Turkish. We have also proposed several approaches specific to sentiment analysis in Englis…
Sentiment AnalysisTerm ExtractionTurkishDelightNLP: A Neural Turkish NLP Toolkit
We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentati…
Dependency ParsingMorphological Taggingnamed-entity-recognitionNamed Entity Recognition+5Turkish Treebank as a Gold Standard for Morphological Disambiguation and Its Influence on Parsing
So far predicted scenarios for Turkish dependency parsing have used a morphological disambiguator that is trained on the data distributed with the tool(Sak et al., 2008). Although models trained on this data have high ac…
Dependency ParsingMorphological AnalysisMorphological Disambiguation