Year: 2015
Type: conference-paper
Abstract: Arabic has a very co mp lex morphological system, though a very structured one.Character patterns are often indicative of word class and word segmentation.In this paper, we e xplore a novel approach to Arabic word segmentation and part-of-speech tagging relying on character info rmation.The approach is lexicon-free and does not require any morphological analysis, eliminat ing the factor of dictionary coverage.Using character-based analysis, the developed system yielded stateof-the-art accuracy comparing favourably with other taggers that involve external resources.
DOI: 10.18653/v1/w15-3212
Authors: Shabib AlGahtani, John McNaught
Institution: University of Manchester
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2251053923