Refinement of search results using cross lingual reference technique
نویسندگان
چکیده
منابع مشابه
Integrate Multilingual Web Search Results using Cross-Lingual Topic Models
With the thriving of the Internet, web users today have access to resources around the world in more than 200 different languages. How to effectively manage multilingual web search results has emerged as an essential problem. In this paper, we introduce the ongoing work of leveraging a CrossLingual Topic Model (CLTM) to integrate the multilingual search results. The CLTM detects the underlying ...
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-With the explosive growth of international users, distributed information and the number of linguistic resources, accessible throughout the World Wide Web, information retrieval has become crucial for users to find, retrieve and understand relevant information, in any language and form. CrossLanguage Information Retrieval (CLIR) is a subfield of Information Retrieval which provides a query in ...
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A major portion of the World Wide Web(WWW) is still dominated by a few languages, with English being on the top. Monolingual information retrieval systems have been setup for such languages and are widely in use. To cater to a wider and diverse language speaking web users, we need Cross Lingual Information Retrieval (CLIR) systems that are capable of receiving a query in one language and return...
متن کاملAnalysis and Refinement of Cross-Lingual Entity Linking
In this paper we propose two novel approaches to enhance cross-lingual entity linking (CLEL). One is based on cross-lingual information networks, aligned based on monolingual information extraction, and the other uses topic modeling to ensure global consistency. We enhance a strong baseline system derived from a combination of state-of-the-art machine translation and monolingual entity linking ...
متن کاملA Cross-Lingual Spoken Content Search System
This paper presents an approach towards enabling audio search for those languages where training an automatic speech recognition (ASR) system is difficult, owing to lack of training resources. Our work is related to previous approaches where the problem of allowing search for out-of-vocabulary terms has been addressed. A phonetic recognizer is used to convert the audio data into phonetic lattic...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2014
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2014.31207