Abstract
We use two small parallel corpora for comparing the morphological complexity of Spanish, Otomi and Nahuatl. These are languages that belong to different linguistic families, the latter are low-resourced. We take into account two quantitative criteria, on one hand the distribution of types over tokens in a corpus, on the other, perplexity and entropy as indicators of word structure predictability. We show that a language can be complex in terms of how many different morphological word forms can produce, however, it may be less complex in terms of predictability of its internal structure of words.- Anthology ID:
- W18-4604
- Volume:
- Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New-Mexico
- Editors:
- Leonor Becerra-Bonache, M. Dolores Jiménez-López, Carlos Martín-Vide, Adrià Torrens-Urrutia
- Venue:
- WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 30–37
- Language:
- URL:
- https://aclanthology.org/W18-4604
- DOI:
- Cite (ACL):
- Ximena Gutierrez-Vasques and Victor Mijangos. 2018. Comparing morphological complexity of Spanish, Otomi and Nahuatl. In Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing, pages 30–37, Santa Fe, New-Mexico. Association for Computational Linguistics.
- Cite (Informal):
- Comparing morphological complexity of Spanish, Otomi and Nahuatl (Gutierrez-Vasques & Mijangos, 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/W18-4604.pdf