Rubén Manrique
2024
Historical Ink: Semantic Shift Detection for 19th Century Spanish
Tony Montes
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Laura Manrique-Gómez
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Rubén Manrique
Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
Translation systems for low-resource Colombian Indigenous languages, a first step towards cultural preservation
Juan Prieto
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Cristian Martinez
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Melissa Robles
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Alberto Moreno
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Sara Palacios
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Rubén Manrique
Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)
The use of machine learning and Natural Language Processing (NLP) technologies can assist in the preservation and revitalization of indigenous languages, particularly those classified as “low-resource.” Given the increasing digitization of information, the development of translation tools for these languages is of significant importance. These tools not only facilitate better access to digital resources for indigenous communities but also stimulate language preservation efforts and potentially foster more inclusive, equitable societies, as demonstrated by the AmericasNLP workshop since 2021. The focus of this paper is Colombia, a country home to 65 distinct indigenous languages, presenting a vast spectrum of linguistic characteristics. This cultural and linguistic diversity is an inherent pillar of the nation’s identity, and safeguarding it has been increasingly challenging given the dwindling number of native speakers and the communities’ inclination towards oral traditions. Considering this context, scattered initiatives exist to develop translation systems for these languages. However, these endeavors suffer from a lack of consolidated, comparable data. This paper consolidates a dataset of parallel data in four Colombian indigenous languages - Wayuunaiki, Arhuaco, Inga, and Nasa - gathered from existing digital resources. It also presents the creation of baseline models for future translation and comparison, ultimately serving as a catalyst for incorporating more digital resources progressively.
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Co-authors
- Tony Montes 1
- Laura Manrique-Gómez 1
- Juan Prieto 1
- Cristian Martinez 1
- Melissa Robles 1
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