The State and Fate of Linguistic Diversity and Inclusion in the NLP World

@article{Joshi2020TheSA,
  title={The State and Fate of Linguistic Diversity and Inclusion in the NLP World},
  author={Pratik M. Joshi and Sebastin Santy and A. Budhiraja and K. Bali and M. Choudhury},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.09095}
}
Language technologies contribute to promoting multilingualism and linguistic diversity around the world. However, only a very small number of the over 7000 languages of the world are represented in the rapidly evolving language technologies and applications. In this paper we look at the relation between the types of languages, resources, and their representation in NLP conferences to understand the trajectory that different languages have followed over time. Our quantitative investigation… Expand
Neural Machine Translation for Low-Resource Languages: A Survey
On the Difficulty of Translating Free-Order Case-Marking Languages
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 19 REFERENCES
Efficient Estimation of Word Representations in Vector Space
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Cross-lingual Language Model Pretraining
How multilingual is Multilingual BERT?
How multilingual is multilingual BERT? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4996– 5001, Florence, Italy
  • Association for Computa-
  • 2019
How multilingual is multilingual bert? CoRR
  • 2019
How multilingual is multilingual bert? CoRR, abs/1906.01502
  • 2019
Massively Multilingual Neural Machine Translation
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
...
1
2
...