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  1. Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
  2. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) : Volume 15
  3. Issue 3, March 2016
  4. Arabic Cross-Language Information Retrieval: A Review
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ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) : Volume 16
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) : Volume 15
Issue 4, June 2016
Issue 3, March 2016
Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine Translation
BenLem (A Bengali Lemmatizer) and Its Role in WSD
Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model
Extracting Arabic Causal Relations Using Linguistic Patterns
Bilingual Semantic Role Labeling Inference via Dual Decomposition
Modeling Monolingual Character Alignment for Automatic Evaluation of Chinese Translation
Using Bisect K-Means Clustering Technique in the Analysis of Arabic Documents
Arabic Cross-Language Information Retrieval: A Review
Adaptation of Language Models for SMT Using Neural Networks with Topic Information
Inter-, Intra-, and Extra-Chunk Pre-Ordering for Statistical Japanese-to-English Machine Translation
Issue 2, February 2016
Issue 1, January 2016
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) : Volume 14

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Arabic Cross-Language Information Retrieval: A Review

Content Provider ACM Digital Library
Author Elayeb, Bilel Bounhas, Ibrahim
Copyright Year 2016
Abstract Cross-language information retrieval (CLIR) deals with retrieving relevant documents in one language using queries expressed in another language. As CLIR tools rely on translation techniques, they are challenged by the properties of highly derivational and flexional languages like Arabic. Much work has been done on CLIR for different languages including Arabic. In this article, we introduce the reader to the motivations for solving some problems related to Arabic CLIR approaches. The evaluation of these approaches is discussed starting from the 2001 and 2002 TREC Arabic CLIR tracks, which aim to objectively evaluate CLIR systems. We also study many other research works to highlight the unresolved problems or those that require further investigation. These works are discussed in the light of a deep study of the specificities and the tasks of Arabic information retrieval (IR). Particular attention is given to translation techniques and CLIR resources, which are key issues challenging Arabic CLIR. To push research in this field, we discuss how a new standard collection can improve Arabic IR and CLIR tracks.
Starting Page 1
Ending Page 44
Page Count 44
File Format PDF
ISSN 23754699
e-ISSN 23754702
DOI 10.1145/2789210
Volume Number 15
Issue Number 3
Journal ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-01-28
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Arabic cross-language information retrieval Arabic translation knowledge Complex morphology Stemming Stopwords removal Tokenization Transliteration
Content Type Text
Resource Type Article
Subject Computer Science
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