Abstract
We propose a new multilingual language model benchmark that is composed of 40+ languages spanning several scripts and linguistic families. With around 40 billion characters, we hope this new resource will accelerate the research of multilingual modeling. We train monolingual causal language models using a state-of-the-art model (Transformer-XL) establishing baselines for many languages. We also introduce the task of multilingual causal language modeling where we train our model on the combined text of 40+ languages from Wikipedia with different vocabulary sizes and evaluate on the languages individually. We released the cleaned-up text of 40+ Wikipedia language editions, the corresponding trained monolingual language models, and several multilingual language models with different fixed vocabulary sizes.- Anthology ID:
- 2020.lrec-1.297
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 2440–2452
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.297
- DOI:
- Cite (ACL):
- Mandy Guo, Zihang Dai, Denny Vrandečić, and Rami Al-Rfou. 2020. Wiki-40B: Multilingual Language Model Dataset. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 2440–2452, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Wiki-40B: Multilingual Language Model Dataset (Guo et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.lrec-1.297.pdf
- Data
- Wiki-40B