# Applied Language Technology: NLP for the Humanities

arXiv: https://arxiv.org/abs/2105.01052 · HTML: https://mlsanity.com/paper/2105.01052/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 14 references that are in the map.
- First posted on arXiv 3 May 2021.

## Builds on (most cited first, 2 of 2)

- [Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://mlsanity.com/paper/2003.07082/) (2020)
- [How we do things with words: Analyzing text as social and cultural data](https://mlsanity.com/paper/1907.01468/) (2019)

## Built on by (most cited first, 1 of 1)

- [Building an Endangered Language Resource in the Classroom: Universal Dependencies for Kakataibo](https://mlsanity.com/paper/2206.10343/) (2022)

## Abstract (arXiv)

This contribution describes a two-course module that seeks to provide humanities majors with a basic understanding of language technology and its applications using Python. The learning materials consist of interactive Jupyter Notebooks and accompanying YouTube videos, which are openly available with a Creative Commons licence.