According to the latest estimates of UNESCO, currently, the Kichwa is experiencing a rapid loss among young generations. Some studies predict that approximately half of 7000 World languages will be extinct by the end of the XXI century. For these reasons, it is fundamental to develop efforts to rescue and revitalize the indigenous languages as a fundamental part of the cultural heritage of ancient nations. In this paper, we describe an initial approximation to develop an automatic translation tool from the Ecuadorian Kichwa variant to Spanish. However, this task is challenging, because currently there are not enough digital bilingual texts (Ecuadorian Kiwcha-Spanish) to design automatic translation tools. Our proposal compared Long Short-Term Memory Neural Network (LSTM-NN) and Transformer NN as is described in state of the art. Although the initial results do not have the precision required to have a suitable translator (due to the lack of enough bilingual texts), this first approximation shows that it is feasible to use LSTM NN to continue the research and development process in this area.
|Title of host publication||Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 5 Aug 2021|
|Event||28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Peru|
Duration: 5 Aug 2021 → 7 Aug 2021
|Name||Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021|
|Conference||28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021|
|Period||5/08/21 → 7/08/21|
Bibliographical notePublisher Copyright:
© 2021 IEEE.
- Ecuadorian Kichwa
- indigenous language
- LSTM Neural Network