Natural Language Processing (NLP) Test

This assessment evaluates candidates' skills across various facets of Natural Language Processing (NLP). It helps pinpoint individuals who possess expertise in multiple analysis types, including semantic, syntactic, and pragmatic aspects.

Natural Language Processing merges computer science and artificial intelligence to facilitate interaction between computers and human languages. NLP technologies analyze and interpret the structure and meaning of human language, enabling computers to converse with people naturally.

The field encompasses tasks like language modeling, part-of-speech tagging, named entity recognition, machine translation, and both language understanding and generation. These technologies power applications such as text-to-speech, chatbots, virtual assistants, and machine translation systems.

NLP integrates linguistics, computer science, and AI to comprehend the syntax, semantics, context, and cultural nuances of language. This interdisciplinary domain draws from multiple sciences, impacting areas like machine learning, AI, and human-computer interaction.