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International Journal Of Engineering And Computer Science ISSN:23197242
Volume 3 Issue 5 may, 2014-Page No. 62166223Cross lingual information retrieval using tide and similarity
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How to fill out cross lingual information retrieval
01
Determine the languages you want to use for cross lingual information retrieval.
02
Collect a corpus of documents in each language that you want to retrieve information from.
03
Preprocess the documents by tokenizing, removing stop words, and applying any necessary language-specific preprocessing techniques, such as stemming or lemmatization.
04
Train a machine learning model or use a pre-trained model to create language embeddings for each document in the corpus.
05
Determine the query language and preprocess the query in the same way as the documents.
06
Use the language embeddings to calculate document similarity scores between the query and the documents in each language.
07
Rank the documents based on their similarity scores and retrieve the top-ranked documents as the search results.
08
Present the search results to the user, either as a list of documents or as snippets of relevant information.
Who needs cross lingual information retrieval?
01
Multilingual organizations or companies that operate in multiple countries and need to retrieve information from documents written in different languages.
02
Researchers studying language-related phenomena or conducting cross-cultural comparative studies.
03
Language learners who want to find relevant learning materials in different languages.
04
Translators or language professionals who need to find relevant documents or information in multiple languages.
05
International news agencies or media organizations that need to retrieve news articles from different languages for cross-lingual reporting.
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What is cross lingual information retrieval?
Cross lingual information retrieval is the process of retrieving information written in one language when the query is expressed in a different language.
Who is required to file cross lingual information retrieval?
Any organization or individual who needs to access information across different languages may be required to use cross lingual information retrieval techniques.
How to fill out cross lingual information retrieval?
Cross lingual information retrieval can be performed using various techniques such as machine translation, cross-lingual word embeddings, and multilingual indexing.
What is the purpose of cross lingual information retrieval?
The purpose of cross lingual information retrieval is to overcome language barriers and facilitate access to information in multiple languages.
What information must be reported on cross lingual information retrieval?
The information required for cross lingual information retrieval depends on the specific requirements of the task or project.
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