STATISTICAL SIGNIFICANCE IN MULTILINGUAL INFORMATION RETRIEVAL (MLIR) SYSTEM
نویسندگان
چکیده
منابع مشابه
Intelligent Agent-based Multilingual Information Retrieval System
The goal of this work is to develop an Open Agent Architecture for Multilingual information retrieval from Relational Database. The query for information retrieval can be given in plain Hindi or Malayalam; two prominent regional languages of India. The system supports distributed processing of user requests through collaborating agents. Natural language processing techniques are used for meanin...
متن کاملExperiments in Multilingual Information Retrieval
The multilingual information retrieval system of the future will need to be able to retrieve documents across language boundaries. This extension of the classical IR problem is particularly challenging, as signiicant resources are required to perform query translation. At Xerox, we are working to build a multilingual IR system and conducting a series of experiments to understand what factors ar...
متن کاملA Multilingual Approach to Multilingual Information Retrieval
Multilingual IR is usually carried out by first performing crosslanguage IR on separate collections, each for a language. Once a set of answers has been found in each language, all the sets are merged to produce a unique answer list. In our experiments of CLEF2002, we propose a truly multilingual approach in which the documents in different languages are mixed in the same collection. Indexes ar...
متن کاملOntology-Based Multilingual Information Retrieval
For our first participation in the CLEF evaluation campaign, our aim is to explore a translation-free technique for multilingual information retrieval. This technique is based on an ontological representation of documents and queries. We use a multilingual ontology for documents/queries representation. For each language, we use the multilingual ontology to map a term to its corresponding concep...
متن کاملA Medical Multilingual Information Retrieval
The Web is full of documents and resources. Users employ different strategies to find information they need: by browsing, using search engines, by following existing categories in a Web catalog. For technical sublanguages such as the medical one, document indexing based on lexical entities at a subword level has proved useful. However, it still remains challenging to identify and to delimit the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOSR Journal of Engineering
سال: 2012
ISSN: 2278-8719,2250-3021
DOI: 10.9790/3021-0204794802