Global Certificate in Data-Driven Language Techniques
-- ViewingNowThe Global Certificate in Data-Driven Language Techniques is a comprehensive course designed to meet the growing industry demand for language professionals with data analysis skills. This certification equips learners with essential skills to excel in the age of big data and artificial intelligence.
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⢠<data-driven-language-techniques> fundamentals: Understanding the basics of data-driven language techniques, including data mining, natural language processing, and machine learning.
⢠Data collection and preprocessing: Learning to gather, clean, and organize data for use in language techniques, including text corpora, speech data, and social media data.
⢠Text analytics and NLP: Exploring techniques for analyzing and processing text, including tokenization, part-of-speech tagging, and sentiment analysis.
⢠Speech recognition and synthesis: Understanding the principles of speech recognition and synthesis, including acoustic modeling, language modeling, and text-to-speech conversion.
⢠Machine translation and summarization: Learning about the latest developments in machine translation and text summarization, including neural machine translation and extractive vs. abstractive summarization.
⢠Ethics and privacy in language techniques: Examining the ethical and privacy implications of data-driven language techniques, including bias, transparency, and data protection.
⢠Applications of language techniques: Exploring real-world applications of data-driven language techniques, including chatbots, search engines, and virtual assistants.
⢠Research and development in language techniques: Keeping up with the latest trends and developments in the field of data-driven language techniques, including cutting-edge research and industry applications.
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