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  2. International English Language Testing System - Wikipedia

    en.wikipedia.org/wiki/International_English...

    IELTS Academic and General Training both incorporate the following features: IELTS tests the ability to listen, read, write and speak in English. The speaking module is a key component of IELTS. It is conducted in the form of a one-to-one interview with an examiner which can occur face to face or even through a video conference.

  3. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

  4. Progress in artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Progress_in_artificial...

    Progress in artificial intelligence (AI) refers to the advances, milestones, and breakthroughs that have been achieved in the field of artificial intelligence over time. AI is a multidisciplinary branch of computer science that aims to create machines and systems capable of performing tasks that typically require human intelligence.

  5. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  6. Natural language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural_language_understanding

    Natural language understanding (NLU) or natural language interpretation (NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem.

  7. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Bayesian methods are introduced for probabilistic inference in machine learning. [1] 1970s 'AI winter' caused by pessimism about machine learning effectiveness. 1980s: Rediscovery of backpropagation causes a resurgence in machine learning research. 1990s: Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach.

  8. Examination for the Certificate of Proficiency in English

    en.wikipedia.org/wiki/Examination_for_the...

    Test section Time Question types Listening: 50 minutes: Part 1 (20multiple-choice questions): test takers listen to a short conversation between two speakers, followed by three printed statements.

  9. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

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