Computational Linguistics - Intermediate Course - UdemyFreebies.com

Computational Linguistics - Intermediate Course

IT & Software

English

Requirements

  • Students should have a basic understanding of linguistic concepts, and basic programming skills, especially in Python. It is also recommended that students have completed the Computational Linguistics - Beginner Course.

Description

Are you ready to take your computational linguistics skills to the next level? This intermediate course dives deep into the foundational concepts of Natural Language Processing (NLP) while introducing advanced tools and techniques used in the field. Designed for students and professionals with basic knowledge of computational linguistics, this course blends solid theory with hands-on workshops to boost your expertise. 

 

What You'll Learn:

  • Introduction to NLP: A comprehensive overview of the key concepts underlying Natural Language Processing. 

  • Hands-On Workshop with NLTK: Learn how to utilize this powerful Python library for linguistic analysis. 

  • Exploring spaCy: Master this modern and efficient tool for large-scale NLP tasks. 

  • Regular Expressions: Discover how to use regex for precise and efficient text processing. 

  • Working with WordNet: Understand how to leverage this lexical database for semantic analysis and NLP tasks. 

  • Generative AI and NLP: The most extensive section of the course, where you'll explore how to harness generative AI models for advanced tasks such as text generation, summarization, sentiment analysis, and more. 

 

Why Enroll? 

This course is designed to be practical and directly applicable. Each section includes interactive examples, guided exercises, and real-world projects to help you confidently tackle computational linguistics challenges. 

 

Join today and become proficient in cutting-edge NLP tools and techniques with this comprehensive and up-to-date course!

Who this course is for:

  • This course is designed for linguists, translators, and other students with a background in linguistic-related studies who are interested in learning more about computational linguistics and natural language processing. If you have a basic understanding of Python, you will be able to follow along and apply the techniques covered in this course. If you are new to Python, don't worry! We recommend starting with the Computational Linguistics - Beginner Course to build a strong foundation before moving on to this intermediate-level course.
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