Designing Cross-Language Information Retrieval System using various Techniques of Query Expansion and Indexing for Improved Performance

نویسندگان

  • Aditi Agrawal
  • A. J. Agrawal
  • Jean-Leon Bouraoui
  • Emilie Guimier de Neef
چکیده

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Classical Information Retrieval is finding out of the documents most relevant to a user’s query, from a large store of documents. A search engine performs IR by retrieving relevant web documents from the internet. Cross Language Information Retrieval permits the user to retrieve their documents in other language then the query. Some systems use resources such as bilingual dictionaries to translate the user’s original query and other systems use machine translation to translate the documents. Problems arise due to ambiguity in language. In this paper we will discuss previous work in CLIR. Four papers are considered for literature review and the proposed approach is discussed

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improved Skips for Faster Postings List Intersection

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

متن کامل

Improved Skips for Faster Postings List Intersection

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

متن کامل

QEA: A New Systematic and Comprehensive Classification of Query Expansion Approaches

A major problem in information retrieval is the difficulty to define the information needs of user and on the other hand, when user offers your query there is a vast amount of information to retrieval. Different methods , therefore, have been suggested for query expansion which concerned with reconfiguring of query by increasing efficiency and improving the criterion accuracy in the information...

متن کامل

Multi-lingual Indexing Support for CLIR using Language Modeling

An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector space retrieval models. However, when functional aspects of such models were tested, it was soon felt that better relevance models were required to more accurately compute the relevance of a document towards a query. It ...

متن کامل

Using Concept-Based Indexing to Improve Language Modeling Approach to Genomic IR

Genomic IR, characterized by its highly specific information need, severe synonym and polysemy problem, long term name and rapid growing literature size, is challenging IR community. In this paper, we are focused on addressing the synonym and polysemy issue within the language model framework. Unlike the ways translation model and traditional query expansion techniques approach this issue, we i...

متن کامل

ذخیره 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 2016