Many NLP applications need a pre-processing task to convert the input into an appropriate
form or format. The preprocessing may include segmentation of text into sentences, words …

Natural Language Processing (NLP) has increased significance in machine interpretation
and different type of applications like discourse combination and acknowledgment, limitation …

Abstract Natural Language Processing (NLP) is a rapidly growing field focusing on the
interaction between computers and human languages. It involves utilizing computational …

The" Natural Language Processing Practical Approach" is a textbook that provides a
practical introduction to the field of Natural Language Processing (NLP). The goal of the …

In light of the rapid rise of new trends and applications in various natural language
processing tasks, this book presents high-quality research in the field. Each chapter …

In light of the rapid rise of new trends and applications in various natural language
processing tasks, this book presents high-quality research in the field. Each chapter …

Text preprocessing plays an important role in natural language processing (NLP) tasks
containing text classification, sentiment analysis, and machine translation. The …

There is a plethora of methods, tools and resources for processing text in the English
language, however this is not the case for other languages, like Greek. Due to the increasing …

Abstract Parsing in Natural Language processing is a vast domain which serves as a pre-
processing step for different NLP operations like information extraction, etc. Multiple parsing …