📞 +91-7667918914 | ✉️ ijarcce@gmail.com
International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 3, ISSUE 6, JUNE 2014

Survey on Paraphrase Extraction Techniques for Kannada

ASHWINI GADAG, DR. B.M.SAGAR, MR. RAJASHEKAR MURTHY S Department of ISE, R V College of Engineering, Karnataka, India

👁 42 views📥 0 downloads
Share: 𝕏 f in
Abstract: Paraphrasing is a technique used to reframe the every word or phrase in a another way. The importance of a paraphrase is to clarify the content by re seeing and re-creating each word or phrase in every line. This paper presents paraphrasing sentences using synonym substitution, statistical model, semantic feature method. These methods are restricted to certain conditions. Paraphrase a word/sentence/passage when readers are not sure about its meaning. Restating a complex writing into simple terms may help better understand the content and purpose of the passage. Paraphrase recognition systems depend on lexical, syntactic and semantic features extracted from the candidate texts to identify equivalence. In the first approach, using data mining technology the target word and candidate phrases are retrieved from large corpus. It is simply extracting phrases from synonym dictionary.

Keywords: corpus, paraphrase, semantic, statistical, synonym.

How to Cite:

[1] ASHWINI GADAG, DR. B.M.SAGAR, MR. RAJASHEKAR MURTHY S Department of ISE, R V College of Engineering, Karnataka, India, “Survey on Paraphrase Extraction Techniques for Kannada,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.