TAILIEUCHUNG - Báo cáo khoa học: "Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs"

In this paper we extend our work described in (Dinu et al., 2011) by adding more conjugational rules to the labelling system introduced there, in an attempt to capture the entire dataset of Romanian verbs extracted from (Barbu, 2007), and we employ machine learning techniques to predict a verb’s correct label (which says what conjugational pattern it follows) when only the infinitive form is given. | Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs Liviu P. Dinu Faculty of Mathematics and Computer Science University of Bucharest ldinu@ Vlad Niculae Faculty of Mathematics and Computer Science University of Bucharest vlad@ Octavia-Maria Sulea Faculty of Foreign Languages and Literatures Faculty of Mathematics and Computer Science University of Bucharest Abstract In this paper we extend our work described in Dinu et al. 2011 by adding more con-jugational rules to the labelling system introduced there in an attempt to capture the entire dataset of Romanian verbs extracted from Barbu 2007 and we employ machine learning techniques to predict a verb s correct label which says what con-jugational pattern it follows when only the infinitive form is given. 1 Introduction Using only a restricted group of verbs in Dinu et al. 2011 we validated the hypothesis that patterns can be identified in the conjugation of the Romanian partially irregular verb and that these patterns can be learnt automatically so that given the infinitive of a verb its correct conjugation for the indicative present tense can be produced. In this paper we extend our investigation to the whole dataset described in Barbu 2008 and attempt to capture beside the general ending patterns during conjugation as much of the phonological alternations occuring in the stem of verbs apophony from the dataset as we can. Traditionally Romanian has received a Latin-inspired classification of verbs into 4 or sometimes 5 conjugational classes based on the ending of their infinitival form alone Costanzo 2011 . However this infinitive-based classification has proved itself inadequate due to its inability to account for the behavior of partially irregular verbs whose stems have a smaller number of allomorphs than the completely irregular during their conjugation. There have been thus numerous attempts throughout the history of Romanian .

• Báo cáo khoa học
• Learning How to Conjugate the Romanian Verb
• Rules for Regular
• Partially Irregular Verbs
• 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