ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING
Peer Reviewed and Refereed Journal (International Journal) ISSN-2456-1037
Vol. 05,Special Issue 01
,
(ICOSD-2020) January 2020, Available Online:www.ajeee.co.in/index.php/AJEEE
1
NATURAL LANGUAGE PROCESSING
1Ankita Laad, 2Sheetal Vijayvargiya
12Department Computer Science,
Lakshmi Narain Collegeof Technology, Indore (M. P.) India
Abstract- Natural language processing (NLP) is a part of communication between user and system in which process we can communicate system. The basic process of NLP is human is communicate to system best example of NLP is Google assistant, in which we can say Google to any instruction to human language and system is convert into binary language, and Google show the result according to requirement. In NLP we have basic two components to check the what the human speak. In this process we use the programming language to use the communication between user and system like c, c++, java. In this we can use a compiler to check the given instruction is write or wrong, in this phase we check the proper structure and check the gammer rules. For example Google new launch Google duplex, this is the best example of NLP. In this paper we give an overview of the current trends in NLP and discuss the possible applications of traditional AI techniques and their combination in this fascinating area. Challenges in NLP frequently involve speech recognition, natural language understanding and natural language generation.
Keywords: Natural language processing, Google duplex, NLUNLG.
1. INTRODUCTION
Natural language processing involves machine or roboat to understand and process the language that human speak. Natural language generating: performs function on given text Machine Translation was first area of research in NLP. Suggested by Warren Weaver Flaws in solely rearranging dictionary words Resulted in syntactic structures, grammars, parsing algorithms, speech recognition In NPL two component is used Natural language understanding(NLU),Natural language generation(NLG).IN NLU we have the problem of ambugity. Natural Language Processing, usually shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. Most NLP techniques rely on machine learning to derive meaning from human languages.
Convert chunks of text into more formal representations such as first-order logic structures that are easier for computer programs to manipulate. Natural language understanding involves the identification of the intended semantic from the multiple possible semantics which can be derived from a natural language expression which usually takes the form of organized notations of natural language concepts. Introduction and creation of language Meta model and ontology are efficient however empirical solutions.
2. COMPONENT OF NLP
1) Natural Language Understanding 1.1) Lexical Ambiguity
1.2) Syntactical Ambiguity 1.3) Refrential Ambiguity
2) Natural Language Generation 2.1) Text Planning
2.2) Sentence Planning 2.3) Text Realization 3. CONCLUSION
In short term we can say NLP makes the job easier but still demands a human interference.
People and the industry fear NLP would is true to a certain sense but it certainly cannot function the way it does without human inputs.NPL is the best way to communicate the system, today’s life is totally depends on technology so NPL is the best way to communicate the system.
ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING
Peer Reviewed and Refereed Journal (International Journal) ISSN-2456-1037
Vol. 05,Special Issue 01
,
(ICOSD-2020) January 2020, Available Online:www.ajeee.co.in/index.php/AJEEE
2
3.1 Future ScopeThere is a bright scope of future in the system. This process is the most effective .the best example of NPL is the Google duplex. In this duplex Google is used to over voice to conform the requirement, Google is talk to that person .this is the best scope in future. With the help of Google duplex we can easy to survive this world.
REFERENCES
1. Kongthon, Alisa; Sangkeettrakarn, Chatchawal; Kongyoung, Sarawoot; Haruechaiyasak, Choochart (October 27–30, 2009). Implementing an online help desk system based on conversational agent. MEDES '09: The International Conference on Management of Emergent Digital Eco Systems. France: ACM.
doi:10.1145/1643823.1643908.
2. Winograd, Terry (1971). Procedures as a Representation for Data in a Computer Program for Understanding Natural Language. http://hci.stanford.edu/winograd/shrdlu/
3. Roger C. Schank and Robert P. Abelson (1977). Scripts, plans, goals, and understanding: An inquiry into human knowledge structures
4. Mark Johnson. How the statistical revolution changes (computational) linguistics. Proceedings of the EACL 2009 Workshop on the Interaction between Linguistics and Computational Linguistics.