Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain

This is the code and data used to produce the results from the EMNLP 2023 paper Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain.

Requirements

The results from the paper are produced with python 3.6. We suggest creating your own environment. Packages required are as follows:
– spacy
– claucy
– seaborn
– pandas
– nltk
– scipy
– matplotlib

Running the project

To run the code in this project:
– git clone https://github.com/robert1ridley/linguisticBias.git
– cd linguisticBias
– python {analysis file}
(Replace analysis file with any of the following: complete_cohesion_analyses.py, complete_lexical_complexity_analyses.py, complete_morphological_analyses.py, complete_syntactic_analyses.py)