Year: 2014
Type: conference-paper
Abstract: In this paper, we describe our Hybrid Arabic Spelling and Punctuation Corrector (HASP).HASP was one of the systems participating in the QALB-2014 Shared Task on Arabic Error Correction.The system uses a CRF (Conditional Random Fields) classifier for correcting punctuation errors, an open-source dictionary (or word list) for detecting errors and generating and filtering candidates, an n-gram language model for selecting the best candidates, and a set of deterministic rules for text normalization (such as removing diacritics and kashida and converting Hindi numbers into Arabic numerals).We also experiment with word alignment for spelling correction at the character level and report some preliminary results.
DOI: 10.3115/v1/w14-3620
Institution: George Washington University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2143910127