Extracting Arabic Composite Names Using Genitive Principles of Arabic Grammar

Extracting Names From Arabic Text for Question-Answering Systems

Tagging and extracting proper names is an important key for improving the effectiveness of questionanswering systems. The valuable information in the text usually is located around proper names, to collect this information it should be found first. By extracting proper names from the text we provide questionanswering systems with both the proper name found in the text, some information about it...

Arabic Parsing Using Grammar Transforms

We investigate Arabic Context Free Grammar parsing with dependency annotation comparing lexicalised and unlexicalised parsers. We study how morphosyntactic as well as function tag information percolation in the form of grammar transforms (Johnson, 1998, Kulick et al., 2006) affects the performance of a parser and helps dependency assignment. We focus on the three most frequent functional tags i...

Extracting a Tree Adjoining Grammar from the Penn Arabic Treebank

Much progress in natural language processing (NLP) over the last decade has come from the combination of using corpora of annotated naturally occurring text along with machine learning algorithms. Following this trend, corpora have been created for other languages, such as the Penn Arabic Treebank (PATB) (Maamouri et al.2003). However, the corpora almost invariably need to reinterpreted for the...

Linking Databases using Matched Arabic Names

In this paper, a new hybrid algorithm that combines both token-based and character-based approaches is presented. The basic Levenshtein approach also has been extended to the token-based distance metric. The distance metric is enhanced to set the proper granularity level behavior of the algorithm. It smoothly maps a threshold of misspelling differences at the character level and the importance ...

Arabic Script Internationalized Domain Names