paper/references.bib

@article{joshiStateFateLinguistic2021,
  title    = {The {State} and {Fate} of {Linguistic} {Diversity} and {Inclusion} in the {NLP} {World}},
  url      = {http://arxiv.org/abs/2004.09095},
  abstract = {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 underlines the disparity between languages, especially in terms of their resources, and calls into question the "language agnostic" status of current models and systems. Through this paper, we attempt to convince the ACL community to prioritise the resolution of the predicaments highlighted here, so that no language is left behind.},
  urldate  = {2021-03-20},
  journal  = {arXiv:2004.09095 [cs]},
  author   = {Joshi, Pratik and Santy, Sebastin and Budhiraja, Amar and Bali, Kalika and Choudhury, Monojit},
  month    = jan,
  year     = {2021},
  note     = {arXiv: 2004.09095},
  keywords = {Computer Science - Computation and Language},
}

@inproceedings{dagw,
  title = {The {{Danish Gigaword}} Corpus},
  booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics ({{NoDaLiDa}})},
  author = {{Str{\o}mberg-Derczynski}, Leon and Ciosici, Manuel and Baglini, Rebekah and Christiansen, Morten H. and Dalsgaard, Jacob Aarup and Fusaroli, Riccardo and Henrichsen, Peter Juel and Hvingelby, Rasmus and Kirkedal, Andreas and Kjeldsen, Alex Speed and Ladefoged, Claus and Nielsen, Finn Aarup and Madsen, Jens and Petersen, Malte Lau and Rystr{\o}m, Jonathan Hvithamar and Varab, Daniel},
  year = {05 31--2 06 2021},
  pages = {413--421},
  publisher = {Link{\"o}ping University Electronic Press, Sweden},
  address = {Reykjavik, Iceland (Online)},
  abstract = {Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a focused effort to provide a diverse and freely-available one billion word corpus of Danish text. The Danish Gigaword corpus covers a wide array of time periods, domains, speakers' socio-economic status, and Danish dialects.},
  file = {/Users/au561649/Zotero/storage/9B3GVP6D/Derczynski et al. - The Danish Gigaword Corpus.pdf}
}