This paper describes the process of creation of the first machine translation system from Italian to Sardinian, a Romance language spoken on the island of Sardinia in the Mediterranean. The project was carried out by a team of translators and computational linguists. The article focuses on the technology used (Rule-Based Machine Translation) and on some of the rules created, as well as on the orthographic model used for Sardinian.
Proposta rebuda el 15 d'octubre 2017 i acceptada per a publicació el 3 de desembre 2017. Una eina per a una llengua en procés d'estandardització: el traductor automàtic català-sardMachine translation from Catalan to Sardinian: a translation tool for a language in the process of standardisation Resum Aquest article presenta el desenvolupament d'un sistema de traducció automàtica en codi obert basat en regles del català al sard mitjançant la plataforma Apertium, parant una atenció especial a la creació del diccionari bilingüe i de les regles de selecció lèxica i transferència estructural. Es mostren alguns problemes derivats de l'estat actual del sard estàndard. S'ha obtingut una tassa d'error per paraula (WER) del 20,5% i una tassa d'error per paraula independent de la posició (PER) del 13,9%. Mitjançant l'anàlisi qualitativa de la traducció de quatre articles enciclopèdics, s'analitzen les causes d'aquests resultats. Paraules clausard, català, traducció automàtica, estandardització lingüística, Apertium, RBMT AbstractThis article describes the development of a free/open-source rule-based machine translation system for Catalan to Sardinian based on the Apertium platform. Special attention is given to the components of the system related with transfer (structural and lexical) and lexical selection, drawing attention to issues stemming from the current state of the Sardinian written norm. The system has a word-error rate (WER) of 20.5% and a position-independent worderror rate (PER) of 13.9%. We analyse the remaining errors by doing a qualitative analysis of the translation of four articles from the encyclopaedic domain.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.