10 papers analyzed
These studies suggest that natural language processing enables computers to understand and generate human language, with applications in translation, dialogue systems, sentiment analysis, and more, while also facing challenges in semantics and discourse analysis.
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human languages. It involves the development of algorithms and systems that can understand, interpret, and generate human language in a way that is both meaningful and useful.
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Natural Language Processing is a rapidly advancing field that combines computational techniques with linguistic insights to enable computers to understand and generate human language. It has a wide range of applications, from machine translation to sentiment analysis, and involves interdisciplinary research. Despite significant progress, challenges such as language ambiguity and the need for adaptable technologies continue to drive ongoing research and development.
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