Antonym

This study includes an examination of the antonym of hendiadys in all old Turkish inscriptions and manuscripts. Firstly, the elements of the antonym of hen-diadys identified will be examined one by one. This examination will be supported by etymological explanations when necessary. After examining the elements of the hendiadys in terms of structure, analysis will be started in terms of semantics. Then, structural and semantic analysis of the hendiadys will be conducted. In the end, the antonym of hendiadys of the examined structures will be questioned and their place in the hendiadys classification will be examined. In the study, both the elements that make up the hendiadys and the hendiadys will be explained together with their witnesses.

Extraction of semantic relations from various sources such as corpus, web pages, dictionary definitions etc. is one of the most important issue in study of Natural Language Processing (NLP). Various methods have been used to extract semantic relation from various sources. Pattern-based approach is one of the most popular method among them. In this study, we propose a model to extract antonym pairs from Turkish corpus automatically. Using a set of seeds, we automatically extract lexico-syntactic patterns (LSPs) for antonym relation from corpus. Reliability score is calculated for each pattern. The most reliable patterns are used to generate new antonym pairs. Study conduct on only adjective-adjective and noun-noun pairs. Noun and adjective target words are used to measure success of method and candidate antonyms are generated using reliable patterns. For each antonym pair consisting of candidate antonym and target word, antonym score is calculated. Pairs that have a certain score are assigned to antonym pair. The proposed method shows good performance with 77.2% average accuracy.