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| Content Provider | ACM Digital Library |
|---|---|
| Author | Frieder, Ophir Aljlayl, Mohammed |
| Abstract | In Cross-Language Information Retrieval (CLIR), queries in one language retrieve relevant documents in other languages Machine-Readable Dictionary (MRD) and Machine Translation (MT) are important resources for query translation in CLIR. We investigate MT and MRD to Arabic-English CLIR. The translation ambiguity associated with these resources is the key problem. We present three methods of query translation using a bilingual dictionary for Arabic-English CLIR. First, we present the Every-Match (EM) method. This method yields ambiguous translations since many extraneous terms are added to the original query. To disambiguate the query translation, we present the First-Match (FM) method that considers the first match in the dictionary as the candidate term. Finally, we present the Two-Phase (TP) method. We show that good retrieval effectiveness can be achieved without complex resources using the Two-Phase method for Arabic-English CLIR. We also empirically evaluate the effectiveness of the MT-based method using short, medium, and long queries from TREC. The effects of the query length on the quality of the MT-based CLIR are investigated. |
| Starting Page | 295 |
| Ending Page | 302 |
| Page Count | 8 |
| File Format | |
| ISBN | 1581134363 |
| DOI | 10.1145/502585.502635 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2001-10-05 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Two-phase Cross-language Machine translation Machine-readable dictionary |
| Content Type | Text |
| Resource Type | Article |
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