DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ganatra, Disha | - |
dc.contributor.author | Domadiya, Dipti | - |
dc.date.accessioned | 2024-11-21T08:23:31Z | - |
dc.date.available | 2024-11-21T08:23:31Z | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 0025-0422 | - |
dc.identifier.uri | http://10.9.150.37:8080/dspace//handle/atmiyauni/1865 | - |
dc.description.abstract | With truly expanding electronically accessible data, creating machine tools for the extraction of data of interest has expected significant importance. Natural Language processing study has arrived at a point where particular Artificial intelligence calculations were actualized to get better outcomes in the characterization of text. This paper presents how natural language processing works and its advantages of the techniques. There are some levels of NCP which will be helpful for handling given input and to get better output. The point of the paper is to present existing strategies in statistical NLP and to invigorate thought into bettering these. | en_US |
dc.language.iso | en | en_US |
dc.publisher | The Maharaja Sayajirao University of Baroda | en_US |
dc.relation.ispartofseries | 55;1(V) | - |
dc.subject | Natural Language Processing | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | invigorate | en_US |
dc.title | Study on natural language translation with Artificial Intelligence to extract meaningful information | en_US |
dc.type | Article | en_US |
Appears in Collections: | 01. Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Naturallanguagetranslation.pdf | 576.89 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.