Cross lingual Information Retrieval
ثبت نشده
چکیده
A large amount of information in the form of text, audio, video and other documents is available on the web. Users should be able to find relevant information in these documents. Information Retrieval (IR) refers to the task of searching relevant documents and information from the contents of a data set such as the World Wide Web (WWW). A web search engine is an IR system that is designed to search for information on the World Wide Web. There are various components involved in information retrieval. IR system has following components:
منابع مشابه
Ricoh at CLEF 2004
Abstract. This paper describes the participation of RICOH in the monolingual and cross-lingual information retrieval tasks on German Indexing and Retrieval Testdatabase (GIRT) in the Cross-Language Evaluation Forum (CLEF) 2004. We used a morphological analyzer for word decompounding and parallel corpora for cross-lingual information retrieval. The performance of cross-lingual information retrie...
متن کاملCross-Lingual Information Access and Its Evaluation
This paper introduces the outline of the first NTCIR Workshop [1], August 30 September 1, 1999, which is the first evaluation workshop designed to enhance research in Japanese text retrieval and cross-lingual information retrieval, then suggests some thoughts on the future directions of cross-lingual information access in the research and development of digital libraries.
متن کاملCross-Lingual Word Representations via Spectral Graph Embeddings
Cross-lingual word embeddings are used for cross-lingual information retrieval or domain adaptations. In this paper, we extend Eigenwords, spectral monolingual word embeddings based on canonical correlation analysis (CCA), to crosslingual settings with sentence-alignment. For incorporating cross-lingual information, CCA is replaced with its generalization based on the spectral graph embeddings....
متن کاملLeveraging User Interaction and Social Tagging for Improving Cross-lingual Information Access in Digital Libraries
Evaluation of interactive cross-lingual information retrieval systems has been the focus of recent research. The goal is to support the users in formulating effective queries and selecting the documents which satisfy their information needs regardless of the language of the documents. This dissertation aims at harnessing the user-system interaction, extracting the added value and integrating it...
متن کاملUsing Information Extraction to Improve Cross-lingual Document Retrieval
We present a filtering mechanism using two cross-lingual information extraction (CLIE) systems for improving document relevance of cross-lingual information retrieval (CLIR) for queries conforming to predefined templates. Experiments on retrieving Chinese documents in response to English GALE arrest queries show that this approach can obtain a 12.7% absolute improvement in relevance (representi...
متن کاملBag-of-Words Forced Decoding for Cross-Lingual Information Retrieval
Current approaches to cross-lingual information retrieval (CLIR) rely on standard retrieval models into which query translations by statistical machine translation (SMT) are integrated at varying degree. In this paper, we present an attempt to turn this situation on its head: Instead of the retrieval aspect, we emphasize the translation component in CLIR. We perform search by using an SMT decod...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014