Spoken Language Translation, Past, Present, and Future, by Mark Seligman, Spoken Translation, Inc.
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Mark Seligman of Spoken Translation, Inc. will provide some history of the speech translation field since the 1990s; give a quick tour of the state of the art; and speculate about future developments, with special interest in deep semantics.
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Spoken Language Translation, Past, Present, and Future, by Mark Seligman, Spoken Translation, Inc.
- 1. Speech Translation: Past, Present, and Future Mark Seligman Spoken Translation, Inc. mark.seligman@spokentranslation.com
- 2. Past
- 3. In the beginning … • NEC demo, ITU Telecom World (1983 ) • Chat: Uni-verse, Amikai, Compuserve, Global-Link; (later) Ortsbo • C-STAR(-2) consortium (1991?) – ATR trilateral demo (1993) – English, French, Japanese, Italian, Korean, German, Chinese – First unrestricted SLT (1997, 1998) • GETA group (Seligman)/Compuserve • Information Transcript Project (1995, 1996) – MIT – Biennale d’Art Contemporain, Lyon • IBM Voice Type • Global-Link translation software • Mac TEXT-TO-SPEECH • CU-SeeMe, video, audio • Robert Palmquist – Mobile device (1993) – English-Spanish, Office of Naval Research (1997) – SpeechGear launch (2001) – Mobile device for Japanese<>English (2003) – “Interpreter” mobile phone (2004) – Compadre: Interact 4.0, English<>35 other languages (2009) • Talk&Translate
- 4. (Still) In the beginning … • Verbmobil (Wolfgang Walster) – German Federal Ministry of Research and Technology (1993-2000) • Linguatec (>Lingenio) – First boxed product (1998) • More Japanese – NEC mobile device with Japanese-English (2006) – ATR-Trek, Shabete Honyaku, mobile phone (2007) • Apps – Google Translate (2006-2007) – Jibbigo, first offline (2009) – … • Healthcare system pilots – Spoken Translation, Inc., Converser for Healthcare 3.0 (2011) – Sehda (>Fluential) (2009?) • Phone-based – SpeechTrans (multi-lingual conferences) (2014) – Lexifone (2014)
- 5. Converser for Healthcare 3.0: Kaiser Permanente Pilot • Three departments at San Francisco Medical Center – Pharmacy: • Consulting or Drop-off use case – Shortcuts: Consultation: Typhoid Vaccine • Pickup use case • Greeter use case – Inpatient Nursing • Shortcuts: IV, External Catheter, Pain Assessment – Eye Care • Shortcuts: Informed Consent for Cataract Surgery
- 6. Present
- 7. Google, Skype, Waibel Alex Waibel’s Simultaneous Translation
- 8. Google Translate’s Dynamic OCR Feature
- 9. Future
- 10. More Platforms • Watches – Apple Watch – SpeechTrans • Glasses – Augmented reality – In 3 years, not 300! • Issues: – Cloud vs. on-device – Must be everyday device – Must be cool! – Watch Apple!
- 11. The Way Forward • Improve statistical MT – User feedback + machine learning – More, better data • Knowledge source integration – Discourse – Domain – Prosody … • The Return of Semantics – Interlingua/ontologies – True (grounded) semantics • New tech – Deep neural networks – Other AI
- 12. Improve Statistical MT • User feedback (over) + machine learning • More, better data • Parsing > hybrid MT
- 13. User Feedback • Verification and correction of translation – Reliable Retranslation™ – Meaning Cues ™
- 14. Knowledge Source Integration • Think: IBM’s Watson • … or Verbmobil (till 2000) • Nine Issues in Speech Translation – Discourse – Speech acts – Topic tracking – Domain – Prosody – Pauses – Pitch, stress – Translation mismatches – System architecture, data structures
- 15. 車_car を_obj 運転_driving する_do 人_person Syntactic structure NP VP Semantic structure PP V N NP VN V drive person person car mod agt obj The Return of Semantics: Interlingua/Ontologies
- 16. English Real- time Text Texte Français en Temps Vrais English Voice Voix Français Real-time Voice/Text “Do you come here often?” “Est-ce que tu viens souvent ici?” Machine Translation
- 18. IBM Watson’s Knowledge Graph
- 19. The Return of Semantics: Grounded Semantics
- 20. New Tech • MT via deep neural networks – Google Deepmind – Kyunghyun Cho (NYU) • Other AI – Kurzweil’s brain project – Microsoft research – … • Issue: Is black box sufficient?