Linguistic Data Analysis I

Corpus Linguistics and Natural Language Professing for Learner Language Analysis

Author

Masaki EGUCHI, Ph.D.

Modified

August 1, 2025

Welcome to Linguistic Data Analysis I

This intensive 5-day graduate course introduces students to corpus linguistics and learner language analysis. Through hands-on activities and practical applications, you’ll learn to use computational tools to analyze linguistic data, with a special focus on learner corpora.

Quick Links

Course Overview

What You’ll Learn

Corpus analysis techniques
Learner language analysis methods
Practical applications with real corpora
Research methodology in corpus linguistics

Key Tools

AntConc - Corpus analysis software
BYU Corpora - Online corpus interfaces
Python - Text processing (via Google Colab)
JASP - Statistical analysis

Course Structure

The course is organized into 5 days:

Day	Theme	Sessions
Day 1	Introduction & Corpus Basics
Day 2	Analysis of Vocabulary & Multiword Units (1)
Day 3	Analysis of Vocabulary & Multiword Units (2)
Day 4	Analysis of Grammar
Day 5	Advanced Topics & Projects

Getting Started

Review the syllabus for course policies and expectations
Check the detailed schedule for session timings
Install required software using our setup guides
Browse the resources section for helpful materials

Instructor Information

Instructor: Masaki Eguchi, Ph.D.
Email: You can contact me through Google Classroom

Course Communication

Stay Connected

Course Website: This site
Communication: Google Classroom
Assignment Submission: Google Classroom

Acknowledgments

This course builds on materials and approaches from:

Dr. Kris Kyle (University of Oregon) for his previous corpus linguistics/NLP classes from University of Hawai’i and Oregon.
Dr. Andrew Heiss (Georgia State University) for his Quarto-based materials and website settings, which significantly enhanced the accessibility of the course content.

--- title: "Linguistic Data Analysis I" subtitle: "Corpus Linguistics and Natural Language Professing for Learner Language Analysis" toc: true --- ## Welcome to Linguistic Data Analysis I This intensive 5-day graduate course introduces students to corpus linguistics and learner language analysis. Through hands-on activities and practical applications, you'll learn to use computational tools to analyze linguistic data, with a special focus on learner corpora. ::: {.callout-note} ## Quick Links - 📋 [Course Syllabus](2025/syllabus/) - 📅 [Schedule](2025/syllabus/schedule.md) - 💻 [Sessions](2025/sessions/) - 📝 [Assignments](2025/assignments/) - 🔧 [Resources](resources/) ::: ## Course Overview :::: {.columns} ::: {.column width="50%"} ### What You'll Learn - Corpus analysis techniques - Learner language analysis methods - Practical applications with real corpora - Research methodology in corpus linguistics ::: ::: {.column width="50%"} ### Key Tools - **AntConc** - Corpus analysis software - **BYU Corpora** - Online corpus interfaces - **Python** - Text processing (via Google Colab) - **JASP** - Statistical analysis ::: :::: ## Course Structure The course is organized into **5 days**: | Day | Theme | Sessions | |-----|-------|----------| | **Day 1** | Introduction & Corpus Basics | | | **Day 2** | Analysis of Vocabulary & Multiword Units (1) | | | **Day 3** | Analysis of Vocabulary & Multiword Units (2) | | | **Day 4** | Analysis of Grammar | | | **Day 5** | Advanced Topics & Projects | | ## Getting Started 1. **Review the [syllabus](2025/syllabus/)** for course policies and expectations 2. **Check the [detailed schedule](2025/syllabus/schedule.md)** for session timings 3. **Install required software** using our [setup guides](resources/tools/) 4. **Browse the [resources section](resources/)** for helpful materials ## Instructor Information **Instructor**: Masaki Eguchi, Ph.D. **Email**: You can contact me through Google Classroom ## Course Communication ::: {.callout-tip} ## Stay Connected - **Course Website**: This site - **Communication**: Google Classroom - **Assignment Submission**: Google Classroom ::: ## Acknowledgments This course builds on materials and approaches from: - Dr. Kris Kyle (University of Oregon) for his previous corpus linguistics/NLP classes from University of Hawai'i and Oregon. - Dr. Andrew Heiss (Georgia State University) for his Quarto-based materials and website settings, which significantly enhanced the accessibility of the course content.