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    • Computational Linguistics

    Computational Linguistics Courses Online

    Explore computational linguistics for natural language processing. Learn to develop algorithms for language analysis and machine translation.

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    Explore the Computational Linguistics Course Catalog

    • U

      Universidade Estadual de Campinas

      Pluralidades em Português Brasileiro

      Skills you'll gain: Oral Comprehension, Intercultural Competence, Language Competency, Cultural Diversity, Literacy, Vocabulary, Culture, Language Learning, Grammar

      4.8
      Rating, 4.8 out of 5 stars
      ·
      928 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      863 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithms on Strings

      Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Precision Medicine, Life Sciences

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      494 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Data Structures in Java

      Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Power Electronics, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Computational Logic, Basic Electrical Systems, Applied Mathematics, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Hardware Security

      Skills you'll gain: Security Engineering, Computer Hardware, Hardware Architecture, Threat Modeling, Threat Detection, Cybersecurity, Application Specific Integrated Circuits, Cryptography, Encryption, Emerging Technologies, Authentications, System Design and Implementation, Computational Logic

      4.3
      Rating, 4.3 out of 5 stars
      ·
      687 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      AI Agents in LangGraph

      Skills you'll gain: Generative AI Agents, OpenAI, Large Language Modeling, Prompt Engineering, Artificial Intelligence, Human Factors

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Intermediate · Project · Less Than 2 Hours

    • U

      Universidade de São Paulo

      Processamento Neural de Linguagem Natural em Português I

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Text Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Programación para todos (Introducción a Python)

      Skills you'll gain: Programming Principles, Software Installation, Python Programming, Computer Programming, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      247 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part II: Layout

      Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Engineering Design Process, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Mathematical Modeling, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 3 Months

    Computational Linguistics learners also search

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    1…101112…42

    In summary, here are 10 of our most popular computational linguistics courses

    • Pluralidades em Português Brasileiro: Universidade Estadual de Campinas
    • Combinatorics and Probability: University of California San Diego
    • Algorithms on Strings: University of California San Diego
    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Advanced Data Structures in Java: University of California San Diego
    • Equivalent Circuit Cell Model Simulation: University of Colorado Boulder
    • Hardware Security: University of Maryland, College Park
    • AI Agents in LangGraph: DeepLearning.AI
    • Processamento Neural de Linguagem Natural em Português I: Universidade de São Paulo
    • Programación para todos (Introducción a Python): University of Michigan

    Skills you can learn in Mobile And Web Development

    Web (13)
    Mobile App (9)
    Javascript (8)
    Mobile Application Development (8)
    Web Development (8)
    Android Software Development (7)
    CSS (6)
    Programming Language (6)
    Web Application (6)
    Android Studio (5)
    Angularjs (5)
    Computer Program (5)

    Frequently Asked Questions about Computational Linguistics

    Computational linguistics is the study of computer modeling of human language. This scientific field develops computational models for linguistic patterns and structures. In today's world, applications of computational linguistics fall into two categories: using computers to explain linguistic phenomena and developing systems for computers to process language. Computational linguists work to make computers understand both written and spoken language, and they produce technologies that allow humans and computers to communicate with each other linguistically using speech or language systems like artificial intelligence, text-to-speech translators, and automated voice responses.‎

    Computational linguistics is a worthwhile field of study because we use computers increasingly in our modern world, and computers that understand and use human language can help us make the best use of technology. Because language is such a versatile means of communication, computers that can communicate using written or spoken language can become more effective. If you're interested in helping make interactions with machines easier, you'll enjoy the challenges of computational linguistics, and as technology continues to advance, you can develop newer and more sophisticated ways for computers to communicate.‎

    When you're interested in a career in computational linguistics, you'll find plenty of opportunities for work as a computational linguist or engineer. You can find jobs helping program the next generation of artificial intelligence, or you can work as a language engineer or machine learning engineer. Your computational linguistics skills can come in handy developing apps that aid in research, web searches, or translation. You might even be able to program video games that make better use of human speech or help someone who can't speak learn to communicate.‎

    Online courses on Coursera offer you opportunities to learn computational linguistics concepts and skills that are relevant to the real world, such as the philosophies behind language learning and how to program a computer to understand more than one human language or dialect. You might also learn about TensorFlow for NLP to discover the semantic similarities in texts, natural language processing with vector spaces, and sequence models in AI.‎

    Online Computational Linguistics courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Linguistics skills. Choose from a wide range of Computational Linguistics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Linguistics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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