Natural Language Processing with Artificial Intelligence: a Comprehensive Review

EasyChair Preprint no. 10625

Abstract

In this paper, we review recent advancements in Natural Language Processing (NLP) with Artificial Intelligence (AI), covering a range of techniques and applications, including machine translation, sentiment analysis, chatbots, and speech recognition. The authors discuss the challenges and future directions of NLP with AI, including ethical concerns and the need for more multilingual and multimodal approaches. The paper is well-organized and accessible to experts and non-experts alike, providing a thorough overview of traditional and deep learning-based approaches. The authors also provide insightful analysis and discussion on the challenges and opportunities of NLP with AI. While some areas could have been covered in more depth and more recent research could have been included, this paper is a valuable resource for researchers and practitioners in the field.

Keyphrases: AI, ML, NLP

@Booklet{EasyChair:10625,
  author = {Amira Ahmed},
  title = {Natural Language Processing with Artificial Intelligence: a Comprehensive Review},
  howpublished = {EasyChair Preprint no. 10625},

  year = {EasyChair, 2023}}