Name
Abstract | ||
|---|---|---|
We have implemented a root-extraction stemmer for Arabic which is similar to the Khoja stemmer but without a root dictionary. Our stemmer was found to perform equivalently to the Khoja stemmer as well as so-called llightm stemmers in monolingual document retrieval tasks performed on the Arabic Trec-2001 collection. A root dictionary, therefore, does not improve Arabic monolingual document retrieval. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ITCC.2005.90 | ITCC (1) |
Keywords | Field | DocType |
monolingual document retrieval task,root dictionary,arabic trec-2001 collection,root-extraction stemmer,arabic stemming,so-called llightm stemmers,arabic monolingual document retrieval,khoja stemmer,pattern matching,arabic language,information analysis,natural languages,information retrieval,information science,dictionaries,document retrieval,information technology,data mining | Information retrieval,Arabic,Information technology,Computer science,Information science,Natural language,Natural language processing,Artificial intelligence,Document retrieval,Pattern matching | Conference |
ISBN | Citations | PageRank |
0-7695-2315-3 | 47 | 1.97 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazem Taghva | 1 | 350 | 43.51 |
| Rania Elkhoury | 2 | 47 | 1.97 |
| jeffrey coombs | 3 | 89 | 7.73 |