One of the main challenges in language analysis is the method of transforming text into numerical input, which makes modeling feasible. It is not a problem in computer vision tasks due to the fact ...

Supervised machine learning is widely used in natural language processing and, based on the extensive OntoNotes sense tagged data, we have a state-of-the-art WSD system for English verbs that ...

Natural language processing, or NLP for short, is best described as “AI for speech and text.” The magic behind voice commands, speech and text translation, sentiment analysis, text summarization, and ...

Python is a widely used programming language, often favored in the field of data science, and its uses go beyond to include natural language processing (NLP). NLP is concerned with analyzing and ...