Frequently Asked Questions for Natural Language Processing (NLP)

A Natural Language Processing (NLP) assessment is a test or evaluation of a person’s knowledge and skills in the field of NLP. Natural Language Processing (NLP) is used in tasks such as speech recognition, sentiment analysis, translation, auto-correct of grammar while typing, and automated answer generation. NLP is a challenging field since it deals with human language, which is extremely diverse and can be spoken in a lot of ways.

This NLP test looks at candidates’ understanding and abilities in Word Level Analysis, Syntax Analysis, Semantic Analysis, and its applications. This test assesses candidates’ abilities in different aspects of Natural Language Processing.

  • Natural Language Processing Engineer
  •  Artificial Intelligence Engineers
  • Data Scientist
  • Computer Vision Engineer

  • Introduction to NLP
  • Word Level Analysis
  • Syntax Analysis
  • Semantic Analysis
  • Applications

  • Analyzing and understanding human language: NLP technologies are designed to analyze and understand the structure and meaning of human language, including its syntax, semantics, and context. This involves tasks such as language modeling, part-of-speech tagging, and named entity recognition.
  • Generating human-like language: NLP technologies can be used to generate human-like languages, such as for text-to-speech systems or machine translation. This involves tasks such as language generation and translation.
  • Interacting with humans in natural language: NLP technologies can be used to enable computers to communicate with humans in natural languages, such as through chatbots or virtual assistants. This involves tasks such as natural language understanding and generation, dialogue management, and sentiment analysis.