Rule-based machine translation from Kazakh to Turkish
- Autores: Sevilay Bayatli, Sefer Kurnaz, Ilnar Salimzianov, Jonathan North Washington, Francis M. Tyers
- Localización: Proceedings of the 21st Annual Conference of the European Association for Machine Translation: 28-30 May 2018, Universitat d'Alacant, Alacant, Spain / coord. por Juan Antonio Pérez Ortiz
, Felipe Sánchez Martínez , Miquel Esplà Gomis, Maja Popovic, Celia Rico Pérez , André Martins, Joachim Van den Bogaert, Mikel L. Forcada Zubizarreta , 2018, ISBN 978-84-09-01901-4, págs. 49-58 - Idioma: inglés
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Resumen
This paper presents a shallow-transfer machine translation (MT) system for translating from Kazakh to Turkish. Background on the differences between the languages is presented, followed by how the system was designed to handle some of these differences. The system is based on the Apertium free/open-source machine translation platform. The structure of the system and how it works is described, along with an evaluation against two competing systems. Linguistic components were developed, including a Kazakh-Turkish bilingual dictionary, Constraint Grammar disambiguation rules, lexical selection rules, and structural transfer rules. With many known issues yet to be addressed, our RBMT system has reached performance comparable to publicly-available corpus-based MT systems between the languages.
