Speech-Enabled Hybrid Multilingual Translation for Mobile Devices
Year: 2014
Type: conference-paper
Abstract: This paper presents an architecture and aprototype for speech-to-speech translationon Android devices, based on GF (Grammatical Framework). From the user’spoint of view, the advantage is that thesystem works off-line and yet has a leansize; it also gives, as a bonus, grammatical information useful for languagelearners. From the developer’s point ofview, the advantage is the open architecture that permits the customization of thesystem to new languages and for specialpurposes. Thus the architecture can beused for controlled-language-like translators that deliver very high quality, whichis the traditional strength of GF. However,this paper focuses on a general-purposesystem that allows arbitrary input. It covers eight languages.
DOI: 10.3115/v1/e14-2011
Authors: Krasimir Angelov, Björn Bringert, Aarne Ranta
Institutions: Chalmers University of Technology, Google (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2251050854