# Natural Language Processing: State of The Art, Current Trends and Challenges

Source: [Natural Language Processing: State of The Art, Current Trends and Challenges](<https://www.sota2.com/research/paper/68fa6d211e209131cea38022>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-27T06:16:31.054Z

Authors: Diksha Khurana, Aditya Koli, Kiran Khatter, Sukhdev Singh

Published: 2017-08-17T06:42:03.000Z

## Abstract

Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. The paper distinguishes four phases by discussing different levels of NLP and components of Natural Language Generation (NLG) followed by presenting the history and evolution of NLP, state of the art presenting the various applications of NLP and current trends and challenges.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1708.05148>)

[PDF](<https://arxiv.org/pdf/1708.05148.pdf>)