Computational Linguistics - Beginner Course
What you'll learn
- Kick off your career in computational linguistics
- Learn the basics of Python
- Apply it to computational linguistics
- Analyse a novel and other texts within minutes
- Be able to apply to entry level computational linguist roles
Requirements
- No previous experience needed
Description
Welcome to Computational Linguist - Beginner course. In this course, you will discover the fundamentals of Python applied to computational linguists, and we will do it from scratch. Almost all the courses you can find on this topic have been made by software engineers. However, this course has been made by a linguist, and it is intended for linguists who have no previous experience in coding or programming languages such as Python. You can also take this course if you are not a linguist, but you want to learn the basics of Python at a beginner level. No previous experience is needed. We will not assume you know any of the concepts before you start, and no advanced software engineer explanations will occur along the course. You will effortlessly learn the basics of Python applied to computational linguistics step by step. By the end of this course, you will be able to analyze novels and any kind of text without having to read them. And this process will only take a few minutes. Thus, you will figure out who is the protagonist of a novel or the most likely topic of a text, no matter how long it is. Our journey will cover:
Learn what is a variable
Different data types, from basic level to functions and methods
Operators
Loops
File management
Avoid errors
Exercises
Final project
Who this course is for:
- Linguists
- People with no experience in coding
Instructor
My name is José, and I currently work as a Generative AI Strategist at Paradigma Digital. With extensive experience in computational linguistics, I’ve held roles such as Engineering Linguist at LinkedIn, contributing to the RLHF process for a cutting-edge AI lab, and as a Computational Linguist for the Google Assistant team, where I worked on advanced virtual assistant technology.
I hold a double degree in English and Spanish Linguistics, a Master’s in Computational Linguistics, and a strong phonetics background. My expertise spans key areas like ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and STT (Speech-to-Text) technologies. I also have hands-on experience training and deploying large-scale machine learning models.
In addition to my industry roles, I’ve been teaching at Spanish and Mexican universities for several years and have been an instructor on Udemy since 2022.
Beyond linguistics and AI, I’m passionate about UX Design, Forensic Linguistics, Project Management, and Finance, which complement my work and academic interests.