Natural Language Processing

ACM SIGART Bulletin, 1982

IJRASET, 2021

Natural Language Processing (NLP) could be a branch of Artificial Intelligence (AI) that allows machines to know the human language. Its goal is to form systems that can make sense of text and automatically perform tasks like translation, spell check, or topic classification. Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It's spread its applications in various fields like computational linguistics, email spam detection, information extraction, summarization, medical, and question answering etc. The goal of the Natural Language Processing is to style and build software system which will analyze, understand, and generate languages that humans use naturally, so as that you just could also be ready to address your computer as if you were addressing another person. Because it's one amongst the oldest area of research in machine learning it's employed in major fields like artificial intelligence speech recognition and text processing. Natural language processing has brought major breakthrough within the sector of COMPUTATION AND AI.

1989

2015

Artificial Intelligence (AI) is the science of making computers does things that require intelligence when done by humans.AI has many applications. Natural Language Processing is one of the evolving applications of AI. The prime goal of NLP is to evaluate, thoroughly understand and generate human languages automatically, such that communication with a computer feels like being talking to a human. It is a method of successfully understanding a chunk of text without supplying any additional hint or statistics. Thus, NLP automates the translation process between humans and computers. NLP is used to have conversation with machines, translate languages, in search engines and to ask for an advice by using information from the database. Some practical applications ofNatural Language Processing are information retrieval, extracting data from text, text categorization etc. Still no such fully functional system has been developed but research is going on.The main purpose of this paper is to s...

IAEME PUBLICATION, 2024

Natural Language Processing (NLP) is a rapidly evolving field at the intersection of artificial intelligence, linguistics, and cognitive psychology. This article provides a comprehensive overview of NLP, exploring its core techniques, wide-ranging applications, and future directions. We delve into key NLP methods such as sentiment analysis, language generation, and named entity recognition, examining their underlying mechanisms and diverse applications. The impact of NLP across various sectors, including virtual assistants, translation services, healthcare, finance, and education, is thoroughly discussed. Despite significant advancements, NLP faces challenges in handling language ambiguity, multilingual processing, and ethical considerations. Looking ahead, the field is poised for further innovation in model efficiency, interpretability, multimodal integration, and commonsense reasoning. This review underscores NLP's transformative potential in reshaping human-computer interaction and information processing in the digital age.

AI Magazine, 1980

Communications of the ACM, 1990

2000

Computational Linguistics, as a subfield of Linguistics, or Natural Language Processing (NLP), as a subfield of Artificial Intelligence (two research areas that nowadays can be safely considered as merged) concentrate on the “study of computer systems for understanding and generating natural language”[10], in order to develop “a computational theory of language, using the notions of algorithms and data structures from Computer Science”[2].

2021

Earthquakes are known to produce one of the most destructive forces on earth. It has been seen that during past earthquakes many of the building were collapsed. Therefore, realistic method for analysis and design are required. Performance Based Design is the modern approach for earthquake resistant design. It is an attempt to predict the performance of buildings under expected seismic event. It involves the calculation of load and total Seismic weight of building from that the base shear is calculated in different zone. The study is carried out with the help of both manual calculations and ETABS software for a three story building in the campus. Analysis of structure is used to verify the fitness of the structure for use. To perform accurate analysis information such as structural loads, geometry, support condition and material properties should be determined. ETABS is the acronym of extended 3D analysis of building system is software developed by Computers and Structures, Inc. (CSI...