Languageprocessing
Languageprocessing is the field concerned with the computational analysis and generation of human language. It aims to enable computers to read, understand, interpret, translate, and produce natural language text and speech. The term is often used interchangeably with natural language processing and is informally contrasted with theoretical linguistics, though practitioners draw on linguistic theory to design models and evaluate performance.
Core problems include tokenization, morphological analysis, part-of-speech tagging, syntactic parsing, semantic interpretation, coreference resolution, named entity
Languageprocessing informs many applications such as web search, virtual assistants, translation services, chatbots, content moderation, accessibility
Challenges include linguistic ambiguity, variability across languages and domains, data bias, privacy concerns, and the computational