Year: 1996
Type: conference-paper
Abstract: This paper describes a large-scale system that performs morphological analysis and generation of on-line Arabic words represented in the standard orthography, whether fully voweled, partially voweled or unvoweled. Analyses display the root, pattern and all other affixes together with feature tags indicating part of speech, person, number, mood, voice, aspect, etc. The system is based on lexicons and rules from an earlier KIMMO-style two-level morpholgical system, reworked extensively using Xerox Finite-State Morphology tools. The results is an Arabic Finite-State Lexical Transducer that is applied with the same runtime code used for English, French, German, Spanish, Portuguese, Dutch and Italian lexical transducers.
Author: Kenneth R. Beesley
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W1970482722