What is 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.

Why study computational linguistics?

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.

What are typical careers that use computational linguistics?

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.

How can online courses on Coursera help me learn computational linguistics?

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.

What are the benefits of taking an online Computational Linguistics course?

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.

What Computational Linguistics courses are best for training and upskilling employees or the workforce?

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 .

Top Computational Linguistics Courses - Learn Computational Linguistics Online

Explore the Computational Linguistics Course Catalog

Status: Free Trial
Google Cloud
Introduction to Large Language Models
Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Prompt Patterns, Generative Model Architectures
4.4
Rating, 4.4 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Natural Language Processing
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra
4.6
Rating, 4.6 out of 5 stars
6.2K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Google
Crash Course on Python
Skills you'll gain: Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Development Environment
4.8
Rating, 4.8 out of 5 stars
40K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Natural Language Processing with Probabilistic Models
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Davis
Computational Social Science
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Washington
Dynamic Public Speaking
Skills you'll gain: Public Speaking, Persuasive Communication, Presentations, Verbal Communication Skills, Microsoft PowerPoint, Communication, Storytelling, Motivational Skills, Constructive Feedback, Driving engagement, Performing Arts, Concision, Drive Engagement, Action Oriented, Communication Strategies, Target Audience, Writing, Non-Verbal Communication, Composure, Leadership
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Specialization · 3 - 6 Months

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Status: Free Trial
University of California San Diego
Data Structures and Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, File Systems, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
4.6
Rating, 4.6 out of 5 stars
17K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Santa Cruz
Coding for Everyone: C and C++
Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), C and C++, Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Data-oriented programming, Programming Principles, Graph Theory, Computer Science, Computational Thinking, Artificial Intelligence, Integrated Development Environments, Software Technical Review, Game Design
4.5
Rating, 4.5 out of 5 stars
9.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: Preview
University of Washington
Computational Neuroscience
Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado System
Clinical Natural Language Processing
Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing
3.7
Rating, 3.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
4.6
Rating, 4.6 out of 5 stars
116K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Java Programming and Software Engineering Fundamentals
Skills you'll gain: Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, Web Applications, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Manipulation, Data Analysis, Web Servers, Cascading Style Sheets (CSS)
4.6
Rating, 4.6 out of 5 stars
22K reviews
Beginner · Specialization · 3 - 6 Months