Human Language Modeling

Course description: This course is an introduction to computational methods in empirical linguistic analysis and natural language processing focusing on building models of human language. Topics include vector space and topics models, similarity, deep learning, and information theory network models. This course will explore how to apply statistical techniques to language with a focus on R and Python programming skills.

R and Python (updated videos)

Section Title Link Materials Person Year Taught
Introduction R & Python - Introduction to Human Language Modeling (2022) https://youtu.be/Z2p6whF6Fq4 not yet Dr. B Fall 2022

R and Python

Section Title Link Materials Person Year Taught
Introduction R & Python - Introduction to Human Language Modeling https://youtu.be/91yoBYMt8R4 https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Trees and Forests R & Python - Conditional Inference Trees https://youtu.be/vkmd8apKVF8 https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Correspondence R & Python - Correspondence Analysis https://youtu.be/UxsvTSG-pTc https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Logistic Regression R & Python - Logistic Regression https://youtu.be/b3h0IzgMK8M https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Cluster R & Python - Cluster Analysis https://youtu.be/IyIy0lZYKRo https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
EFA R & Python - Exploratory Factor Analysis https://youtu.be/wW8V1rUfSsI https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Linear Regression R & Python - Linear Regression https://youtu.be/gu7AJ6NveNc https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Vector Space Models R & Python - Latent Semantic Analysis https://youtu.be/kTAVO-W2p3M https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Vector Space Models R & Python - Topic Models https://youtu.be/SOOWXaOxBvc https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Network Analysis R & Python - Network Analysis https://youtu.be/E7vtorgTFEY https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Association R & Python - Similarity https://youtu.be/v_RXQnp4oqc https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Neural Nets R & Python - word2vec https://youtu.be/00QmJ1GrOlc https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020
Neural Nets R & Python - Deep Learning https://youtu.be/3hwBx_gTiug https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Summer 2020

Extra Videos

Click to see video list.
Section Title Link Materials Person Year Taught
Correspondence R & Python - Correspondence Analysis https://youtu.be/fc6Q4qpUB08 https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202019 Dr. B Fall 2019

R

Section Title Link Materials Person Year Taught
Introduction R - Human Language Introduction + Descriptive Statistics https://youtu.be/ZJCLFKjMILw https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Linear Regression R - Frequency and Response Latency with Linear Regression https://youtu.be/J7SJPoFnxoc https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Association R - Association Measures: Collocations, PMI, and Co-occurrence https://youtu.be/L5h_1vQmxZM https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
DCA R - Distinctive Collexeme Analysis https://youtu.be/5inGyf1OlBY https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Logistic Regression R - Grammar Analysis with Logistic Regression https://youtu.be/3B56mIYNm6o https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Trees and Forests R - Conditional Inference Trees and Random Forests https://youtu.be/3Jy3f0J21QI https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Clustering R - Behavioral Profiles and Clustering https://youtu.be/EGULjLNAZy8 https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Vector Space Models R - Latent Semantic Analysis https://youtu.be/RssT1HryYtI https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Vector Space Models R - Topics Models https://youtu.be/9sqa2zVcltU https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
MDS R - Linguistic Geography with Multidimensional Scaling https://youtu.be/cXlhN0F4YOE https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
EFA R - Register Variation with Exploratory Factor Analysis https://youtu.be/nPFRAtdfD6c https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019
Correspondence R - Correspondence Analysis https://youtu.be/GgqKf7jLyI8 https://github.com/doomlab/statsofdoom-files/tree/master/lang_model/Lectures%202018 Dr. B Summer 2019

Extra Videos

Click to see video list.
Section Title Link Materials Person Year Taught