The Spoken Language Translator
Bibliographic Data
| ID | 12155702 |
|---|---|
| Authors | Manny Rayner (SRI International, corresponding author), David Carter (0000-0002-0828-3987, Speech Machines), DAVID O CARTER (0000-0003-1885-5237, Speech Pathology Australia), Pierrette Bouillon (0000-0002-8854-6360, University of Geneva), Vassilios Digalakis (0000-0002-1255-8939, Technical University of Crete), Vassilis Digalakis (Technical University of Crete), Mats Wirén (Telia Research) |
| Year | 2001 |
| Volume | 27 |
| Issue | 1 |
| Pages | 149-150 |
| Publication date | 2001-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computational Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0891-2017 • E-ISSN: 1530-9312 |
| Publisher | Association for Computational Linguistics (PUBLISHER • US) |
| DOI | 10.1162/089120101300346840 |
| OpenAlex | W2151208980 |
| Language | EN |
| Citations received | 2 |
This original volume describes the Spoken Language Translator (SLT), one of the first major automatic speech translation projects. The SLT system can translate between English, French, and Swedish in the domain of air travel planning, using a vocabulary of about 1500 words, and with an accuracy of about 75%. The authors detail the language processing components, largely built on top of the SRI Core Language Engine, using a combination of general grammars and techniques that allow them to be rapidly customized to specific domains. They base speech recognition on Hidden Markov Mode technology, and use versions of the SRI DECIPHER system. This account of SLT is an essential resource for researchers interested in knowing what is achievable in spoken-language translation today
Linguistics · Natural language processing · Spoken language · Computer Science · Natural Language Processing Techniques · Artificial Intelligence
| Citations per year | 0.12 |
|---|---|
| Citation span | 2009 - 2020 (12) |
| Highly cited | No |