$π$-yalli: un nouveau corpus pour le nahuatl
Authors:
- Juan-Manuel Torres-MorenoJTJuan-Manuel Torres-Moreno
- Juan-José Guzmán-LandaJGJuan-José Guzmán-Landa
- Graham RangerGRGraham Ranger
- Martha Lorena Avendaño GarridoMGMartha Lorena Avendaño Garrido
- Miguel Figueroa-SaavedraMFMiguel Figueroa-Saavedra
- Ligia Quintana-TorresLQLigia Quintana-Torres
- Carlos-Emiliano González-GallardoCGCarlos-Emiliano González-Gallardo
- Elvys Linhares PontesEPElvys Linhares Pontes
- Patricia Velázquez MoralesPMPatricia Velázquez Morales
- Luis-Gil Moreno JiménezLJLuis-Gil Moreno Jiménez
Preprint
Abstract
The NAHU$^2$ project is a Franco-Mexican collaboration aimed at building the $π$-YALLI corpus adapted to machine learning, which will subsequently be used to develop computer resources for the Nahuatl language. Nahuatl is a language with few computational resources, even though it is a living language spoken by around 2 million people. We have decided to build $π$-YALLI, a corpus that will enable to carry out research on Nahuatl in order to develop Language Models (LM), whether dynamic or not, which will make it possible to in turn enable the development of Natural Language Processing (NLP) tools such as: a) a grapheme unifier, b) a word segmenter, c) a POS grammatical analyser, d) a content-based Automatic Text Summarization; and possibly, e) a translator translator (probabilistic or learning-based).Keywords
All Related Versions
This publication has 1 reference indexed in Scilit:
- Enriching Word Vectors with Subword InformationTransactions of the Association for Computational Linguistics, 2017