Related: 5 natural language processing (NLP) libraries to use Specifically, this article looks at sentiment analysis, chatbots , machine translation, text summarization and speech recognition as ...

Hugging Face is taking its first step into machine translation this week with the release of more than 1,000 models.Researchers trained models using unsupervised learning and the Open Parallel ...

NLP began in the 1950s as machine translation (MT). These early MT efforts were intended to aid in code-breaking during World War II. Developers hoped MT would translate Russian into English, but ...

Masakhane isn’t alone in its ambition to spin up more machine translation for Africa by Africans. This week, Mozilla and a German government ministry launched an open source project to collect ...

Parsing involves breaking down a sentence into constituent parts, such as subject, object, verb, etc. Parsing is a crucial step in many NLP tasks, such as machine translation or text-to-speech ...

NLP Augmented Analytics is the ability to have a conversation with the system, have it understand your questions, and even anticipate and enrich your queries as it learns about your interests, e.g., ...

Machine translation has been a difficult problem to solve in NLP, given that there are usually different ways of saying the same thing or describing a concept due to language and cultural nuances.

Researchers at the University of Tartu Institute of Computer Science have added Livonian, Komi, Veps and 14 other low-resource Finno-Ugric languages to Neurotõlge, the University’s machine ...