Trends In Natural Language Processing : Scope And Challenges
DOI:
https://doi.org/10.32628/CSEIT217698Keywords:
Natural Language processing, Artificial Intelligence, Computer Linguistics, Speech Recognition, Natural Language Generation.Abstract
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyse large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them.NLP combines computational linguistics—rule-based modelling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. This paper discusses on the various scope and challenges , current trends and future scopes of Natural Language Processing.
References
- IBM Cloud Learn Hub, Natural Language Processing.OnlineRetrieved:October,2021.Available:https://www.ibm.com/cloud/learn/natural-language-processing
- Xenostack Blog, Evolution ofNLP.(07 October2021). OnlineRetrieved:Novmber2021. Available:https://www.xenonstack.com/blog/evolution-of-nlp
- Khurana, Diksha &Koli, Aditya &Khatter, Kiran & Singh, Sukhdev. (2017). Natural Language Processing: State of The Art, Current Trends and Challenges.
- Abhimanyu Chopra, Abhinav Prashar, Chandresh Sain, (2013).Natural Language Processing.
- Monkey Learn Blog, Limitations of NLP. (December 22nd, 2020)OnlineRetrieved: November2021.Available:https://monkeylearn.com/blog/natural-language-processing-challenges/
- Dataversity, Brief history of NLP.(May 22, 2019)Online Retrieved:October,2021.Available:https://www.dataversity.net/a-brief-history-of-natural-language-processing-nlp/
- AI Multiple, Natural language processing. (August ,2021)Online Retrieved:October,2021.Available:https://research.aimultiple.com/nlp/
- Meet the Pilot: Smart Earpiece Language Translator.(2016,May25).Online Retrieved: November 2021.Available: https://www.indiegogo.com/projects/meet-the-pilot-smart-earpiece-language-translator-headphones-travel
- Chomsky, Noam. (1965). Aspects of the Theory of Syntax, Cambridge, Massachusetts: MIT Press.
- Tillmann, C., Vogel, S., Ney, H., Zubiaga, A., &Sawaf, H. (1997). Accelerated DP based search for statistical translation. In Eurospeech.
- Data Science Central, Naïve Bayes Classification.(8th June 2015) Online Retrieved: November 2021 Available: https://www.datasciencecentral.com/profiles/blogs/naive-bayes-for-dummies-a-simple-explanation
- "Natural Language Processing." Natural Language Processing RSS. N.p., n.d. (2017)
- Pankaj Naruka, Rohit Yadav, Dr. Himanshu Arora, Monika Mehra.(2020) An Overview to Natural Language Processing.
- A. GelbukhA. (2005) "Natural language processing", Fifth International Conference on Hybrid Intelligent Systems (HIS'05).
- Krishna Prakash Kalyanathaya, D. Akila and P. Rajesh. (2019) "Advances in Natural Language Processing – A Survey of Current Research Trends, Development Tools and Industry Applications".
- StatisticsHow To,Bayes Theorem.Online Retrieved:November,2021.Available:https://www.statisticshowto.com/probability-and-statistics/probability-main-index/bayes-theorem-problems/
- Javapoint, History of Natural language processing ,OnlineRetrieved:October,2021 Available:https://www.javatpoint.com/nlp
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.