TAILIEUCHUNG - Báo cáo khoa học: "Two-level Description of Turkish Morphology "

This poster paper describes a full scale two-level morphological description (Karttunen, 1983, Koskenniemi, 1983) of Turkish word structures. The description has been implemented using the PCKIMMO environment (Antworth, 1990) and is based on a root word lexicon of about 23,000 roots words. Almost all the special cases of and exceptions to phonological and morphological rules have been implemented. Turkish is an agglutinative language with word structures formed by productive affixations of derivational and inflectional suffixes to root words. . | Two-level Description of Turkish Morphology Kemal Oflazer Department of Computer Engineering and Information Science Bilkent University Ankara Turkey Fax 90-4 266 4127 e-mail ko@ 1 Introduction This poster paper describes a full scale two-level morphological description Karttunen 1983 Kosken-niemi 1983 of Turkish word structures. The description has been implemented using the PC-KIMMO environment Antworth 1990 and is based on a root word lexicon of about 23 000 roots words. Almost all the special cases of and exceptions to phonological and morphological rules have been implemented. Turkish is an agglutinative language with word structures formed by productive affixations of derivational and inflectional suffixes to root words. Turkish has finite-state but nevertheless rather complex mor-photactics. Morphemes added to a root word or a stem can convert the word from a nominal to a verbal structure or vice-versa or can create adverbial constructs. The surface realizations of morphological constructions are constrained and modified by a number of phonetic rules such as vowel harmony. 2 Two-level description of Turkish morphology The phonetic rules of contemporary Turkish have been encoded using 22 two-level rules while the mor-photactics of the agglutinative word structures has been encoded as finite-state machines for verbal nominal paradigms. Our lexicons are based on the comprehensive word list that we have compiled for our spelling checker developed earlier Solak and Oflazer 1992 . We have lexicons for nouns adjectives verbs compound nouns proper nouns pronouns adverbs connectives exclamations postpositions acronyms technical words special cases There are total of 18 500 nominal nouns adjectives roots and about 2 450 verbal roots. There are about 100 lexicons for suffixes. 3 Example Output Here we provide a sample output from our implementation slightly edited for proper orthography Input Morpheme Struct. Gloss English meaning ọali manin ệahạ mA Hn V

• Báo cáo khoa học
• Two level Description
• Turkish Morphology
• Kemal Oflazer
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln