Speech-Enabled Hybrid Multilingual Translation for Mobile Devices
Open accessAbstract
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.
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ASR can be used in smart input system [163], automatic transcription system, smart voice assistant [164], [165], computer-assisted speech rehabilitation and language teaching [166].
“For example, ASR can be used in the smart input system [163], automatic transcription system, smart voice assistant [164], [165], computer-assisted speech rehabilitation and language teaching [166].”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [166]
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Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774 · see citing works
- Authors
- Angelov, K., Bringert, B., & Ranta, A.
- Affiliations
- Chalmers University of Technology (SE)
- Google (United States) (US)
- Venue
- Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics
- Published
- 2014
- Pages
- 41-44
- OpenAlex
- W2251050854
- Cited by
- 24
- References
- 0
- Citations by year
- 2023: 1 · 2020: 3 · 2019: 2 · 2017: 2 · 2016: 5 · 2015: 5 · 2014: 6
- FWCI
- 3.53
- Type
- conference paper
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- speech-to-speech translation, multilingual translation, Grammatical Framework, Android, offline translation, hybrid translation, controlled language, language learning, mobile devices
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