Certificate in Language Tech Essentials: Efficiency
-- ViewingNowThe Certificate in Language Tech Essentials: Efficiency is a comprehensive course designed to equip learners with essential skills in Language Technology. This program focuses on enhancing productivity and efficiency in language-related tasks, making it increasingly relevant in today's digital world.
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โข Introduction to Language Technology – Understanding the field, its applications, and potential impact on language-related tasks.
โข Text Analysis Techniques – Tokenization, stemming, lemmatization, part-of-speech tagging, and named entity recognition.
โข Machine Learning Fundamentals – Supervised, unsupervised, and reinforcement learning, model evaluation metrics, and bias-variance tradeoff.
โข Natural Language Processing (NLP) Basics – Language models, n-grams, and language model evaluation.
โข Speech Recognition & Synthesis – Speech-to-text and text-to-speech technologies, including applications and challenges.
โข Machine Translation & Multilingual NLP – Neural machine translation, statistical machine translation, and multilingual language models.
โข Ethical Considerations in Language Technology – Bias, fairness, privacy, and transparency in language technology systems.
โข Best Practices in Language Tech Project Management – Planning, executing, and monitoring language technology projects.
โข Tools and Libraries for Language Technology – Hands-on experience with popular libraries and frameworks, such as NLTK, SpaCy, and TensorFlow.
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