Interactive Jupyter Notebooks for learning materials

Lambda Notebook: Formal Semantics in Jupyter

Notebook to demonstrate simple chunking methodologies

Notebooks for working with / processing the Buckeye corpus.

Notebooks for processing various versions of the Switchboard corpus.

In this repo, I apply various statistical methods (Bayesian) and neural networks in Python(Jupyter Notebook) to analyze and examine relevant topics within computational linguistics. This was part of a 400-level seminar designed for us to engage in interdisciplinary methods to investigate linguistic phenomena.

Notebook converts the Fisher Corpus to a relational format and processes it for a language model.

This repo contains a Jupyter notebook documenting the process of (re)creating input-output examples for the American English flapping rule discussed in Gildea & Jurafsky (1996).

linguistics tree drawing to SVG for Jupyter Notebooks (Python 2.7 backport)

A notebook for processing response data from Warner, McQueen & Cutler (2014)'s response data to use Unicode IPA symbols and adding explicit representation of stimuli contexts and prosodic structure.

This notebook explores using the SpaCy Chinese model to tokenize and analyze parts of speech for a short Buddhist text. Mistakes in the tags were corrected by hand to train an improved model for Pre-Modern Literary Chinese Texts. It was built with Pandas, SpaCy, and Xiaoquan Kong's Chinese SpaCy model. It implements a Part of Speech tagger and v…