Course
LING 529: HLT I
Human Language Technology I: programming, tools, and foundational language technology practice.
Featured Lessons
Selected materials that combine conceptual explanation with executable or visual examples.
Course
Python Crash Course for LING 529
A short Python refresher with embedded Etude practice for students preparing for Human Language Technology I.
Course
LING 524: Language Technology for Data Sovereignty
Methods and ethics in linguistic research, with language technology oriented toward data sovereignty and community-defined needs.
Courses
LING 529: HLT I
Human Language Technology I: programming, tools, and foundational language technology practice.
Python Crash Course for LING 529
A short Python refresher with embedded Etude practice for students preparing for Human Language Technology I.
LING 524: Language Technology for Data Sovereignty
Methods and ethics in linguistic research, with language technology oriented toward data sovereignty and community-defined needs.
LING 439/539: Statistical Natural Language Processing
Statistical NLP, text representation, classification, sequence tagging, parsing, and applied machine learning foundations.
LING 582: Advanced Statistical Natural Language Processing
Advanced NLP with deep learning, neural networks, transformers, LLMs, and practical model-development workflows.
LING 689: Professionalism for HLT
Professional practice for HLT students, including career planning, profiles, interviews, and portfolio development.
Python resources
General Python references and practice materials for students getting ready to work with language data.
Tutorials
Selected technical references and student-facing guides. The full tutorial index includes 39 public lessons.
All tutorialsAnswering with evidence
In Training, context, and evidence, we supplied source material and examples in the prompt. Now we'd like to build on that experiment: how do we choose what goes into the prompt, and how do we make the answer useful to our code?
Choose and force tool calls with the OpenAI API
Suppose you ask a model for a number from a paper. You could put the whole table in the prompt, or give the model a way to look up one row. With the OpenAI Chat Completions API, your code decides which tools to offer and whether the model gets to choose when to...
Clustering basics
In this lesson, we'll learn some of the key concepts behind clustering.
Distance and similarity metrics
In this lesson, we'll learn about distance and similarity metrics.
Docker basics
This lesson introduces you to the basics of Docker.
Feature vectors
In this lesson, you'll learn how to use to represent words and documents with vectors of features.
Forgejo and Class Maestro basics
This tutorial introduces the course workflow for using Forgejo repositories created through Class Maestro.
Git basics
This lesson introduces you to the basics of the Git version control system.
Workshops
Short-form teaching materials for specific events and training contexts.
Introduction to Relational Databases
CoLang workshop materials introducing relational database design for language workers and language technology projects.
Resbaz 2022: Representing words and documents as vectors
Welcome to Intro to NLP: Representing words and documents as vectors. This is an introductory-level NLP tutorial for Resbaz 2022!
HLT Program
Orientation notes, program resources, and advice for Human Language Technology students.
Program hubHLT FAQ
First, I would say not to worry. Many students enter the program with little to no background in programming or advanced math. We're dealing with an onion here. The HLT program will guide you through what you need to understand things at a high level and then grow...
HLT Resources
Many students and instructors find this textbook very easy to read:
Welcome to the HLT program!
Welcome to the University of Arizona's online MS program in Human Language Technology. We're thrilled to have you join us!