IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Natural Language Generation with Transformer.
Authors Name: Ateesh kumar , Samir Khan , Sandeep Kaur
Download E-Certificate: Download
Author Reg. ID:
IJNRD_208922
Published Paper Id: IJNRD2311303
Published In: Volume 8 Issue 11, November-2023
DOI:
Abstract: The goal is to study natural language generation (NLG),with the help of transformer which enable's information sharing between the two complimentry activites with the help of Transformers.Transformer allow the automatic generation of high quality human like nautral text from structured data,prompts, or other forms of input.NLG with tranformers leverages the power of deep learning models which include transformer to achieves it goal .NLG models can be integrated into chatbots and virtual assistants to enable more natural and interactive conversations with users.it also provide responses that are contextually relevant and coherent.With this topic we able to see the bridge that build gap between human communication and machine understanding, enabling more natural human-computer interactions.
Keywords: GPT-3, NLG, Machine Learning, Generation
Cite Article: "Natural Language Generation with Transformer.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d28-d32, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311303.pdf
Downloads: 000118753
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2311303
Registration ID: 208922
Published In: Volume 8 Issue 11, November-2023
DOI (Digital Object Identifier):
Page No: d28-d32
Country: Mohali, Punjab, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311303
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311303
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

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

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

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

Join RMS/Earn 300

IJNRD