Атты І халықаралық конференция ЕҢбектері
жүктеу/скачать 8,57 Mb. Pdf көрінісі
|
|
1 Introduction Automatic phrase identification is an important task in natural language processing. A phrase is a group of words that work together. Phrase recognition is a grammatical unit agent between words and sentences in natural language processing. Phrase identification Parser has been developed for different languages, and they include the Church's Base NP Recognition for English[1] etc. The rule-based Model and Maximum Entropy Model (ME) are the most commonly used technology for phrase representation and parsing. Kazakh Language belongs to the Turkish Language group in the Altaic language family, and it is an agglutinative language with word structures formed by adding derivational or inflectional affixes to root words. Phrases identification is an important task in Kazakh information processing, our group put forward Kazakh morphological analysis which contains stem extraction, part of speech tagging(POS), spellchecking, etc. in the past few years .Syntax Parsing, analysis of phrase structure, automatic identification of phrases and depth analysis of structure was recently investigated.. In this paper, we focus on identifying noun phrases, adjective phrase and verb phrases, which are the most difficult aspects of Kazakh phrase recognition analysis using by rules and ME. жүктеу/скачать 8,57 Mb. Достарыңызбен бөлісу:
|