Information Retrieval is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language. The goal of this work has been to investigate how well a high-level task like information retrieval can be carried out on Arabic text. We have also investigated the effect that others task like topic segmentation can have on information retrieval performance for such a highly inflectional language like Arabic
Reformulating the user query is a technique that aims to improve the performance of an Information R...
In text mining, the concept of clustering is common and important to retrieve and categorize docume...
Arabic, the mother tongue of over 300 million people around the world, is known as one of the most d...
Abstract—The field of information retrieval has witnessed tangible progress over the past decades in...
The need of having a topic segmentation system for Arabic text is to improve the functionalities of ...
Using information retrieval systems to gain access to documents in languages other than English is b...
Using information retrieval systems to gain access to documents in languages other than English is b...
The paper presents a research in Arabic Information Retrieval (IR). It surveys the impact of statist...
International audienceThis paper addresses the optimization of information retrieval in Arabic. Sign...
Topic segmentation is essential for a lot of Natural Language Processing (NLP) applications, such as...
With the vast growth of the Arabic text documents stored on Web and data warehouses on the Internet...
Information retrieval aims to extract from a large collection of data a subset of information that i...
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet...
Arabic is a major international language, spoken in more than 23 countries, and the lingua franca of...
The focus of the experiments reported in this paper was techniques for combining evidence for cross-...
Reformulating the user query is a technique that aims to improve the performance of an Information R...
In text mining, the concept of clustering is common and important to retrieve and categorize docume...
Arabic, the mother tongue of over 300 million people around the world, is known as one of the most d...
Abstract—The field of information retrieval has witnessed tangible progress over the past decades in...
The need of having a topic segmentation system for Arabic text is to improve the functionalities of ...
Using information retrieval systems to gain access to documents in languages other than English is b...
Using information retrieval systems to gain access to documents in languages other than English is b...
The paper presents a research in Arabic Information Retrieval (IR). It surveys the impact of statist...
International audienceThis paper addresses the optimization of information retrieval in Arabic. Sign...
Topic segmentation is essential for a lot of Natural Language Processing (NLP) applications, such as...
With the vast growth of the Arabic text documents stored on Web and data warehouses on the Internet...
Information retrieval aims to extract from a large collection of data a subset of information that i...
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet...
Arabic is a major international language, spoken in more than 23 countries, and the lingua franca of...
The focus of the experiments reported in this paper was techniques for combining evidence for cross-...
Reformulating the user query is a technique that aims to improve the performance of an Information R...
In text mining, the concept of clustering is common and important to retrieve and categorize docume...
Arabic, the mother tongue of over 300 million people around the world, is known as one of the most d...