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lm_bias

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

madelbrot_pthread

medium

mitigating-gender-bias-wmt-2020

A project that explores using word grammatical genders as an additional source of information in neural machine translation.

mpitutorial

MPI programming lessons in C and executable code examples

myblog

natgenmt

This dataset is intended as an evaluation benchmark for gender issues in Machine Translation. We consider the challenges in modeling and handling gendered language in the context of machine translation and extend over previous work that identifies issues using synthetic examples. We focus on the class of issues which surface when a neutral reference to a person is translated to a gendered form. For this class of examples, the MT task requires a system to produce a single translation without source cues, thus exposing a model's preferred gender for the reference form. We include English source sentences, and four target gendered languages across three language families (French, German, Spanish, and Russian). The examples included in the dataset expose where MT encodings are gendered, finding new issues not covered in previous manual approaches.

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

nlw-react

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-gender-rerank

Scripts and nbest lists for "First the worst: Finding better gender translations during beam search" (Findings of ACL 2022)

petinder

processamento-lista5

pt-inflections

react

rede-petri

rocket

rocket-web

tagged-gender-coref

Adaptation datasets and evaluation sets for the paper "Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It" (GeBNLP 2020)

teste

tgbi

Translation Gender Bias Index

transl

translation-gender-bias

unbias

understanding-bias

Code accompanying the paper "Understanding Bias in Word Embeddings"

winopt

word-embedding

Workshop // Exploring Gender Bias in Word Embedding