Simultaneous Machine Interpretation – Utopia?...Simultaneous Machine Interpretation – Utopia?...

Simultaneous Machine Interpretation –Utopia?

Alex Waibel and the InterACT TeamCarnegie Mellon University

Karlsruhe Institute of TechnologyMobile Technologies, LLC

alex@waibel.com

The Language Challenge

• Dilemma:– Living in the Global Village

• Globalization, Global Markets• Increased Exchange and Communication• European/International Integration

– Cultural Diversity:• Beauty, Identity, Language, Culture, Customs• Pride and Individualism• Language Ability

– Challenge:• Providing Access to Global Markets and OpportunitiesMaintaining Cultural Diversity/Individuality

“Everyone Speaks English”… ???

In Europe:

5

The Magnitude of the Problem

• Today Almost all Translation Done by Human Effort (>99%)• ~ 500,000 translators worldwide. ~150,000 in Europe• ~ $31 Billion dollar market• European Union: 1.3 B€ Spent on Translation/Interpretation

– 506 Language Directions to Translate– Current Effort Insufficient to Keep up with Needs of 27 Member States

• Worldwide 6000 Languages– 36,000,000 language directions !!!

• Actual translation work is currently only about 10% of translatable text.

• Translation needs are growing 25% -35% per year• …. And that’s just for Text…..

Interpretation of Speech• Conferences

– Estimated 300,000 conference per Year in Europe– Compared to Needs Few Professional Interpreters– 1% or Less are Interpreted

• Internet– On You-Tube, Every Minute 13 Hours of New Videos

• Television– Satellite, Cable: Virtually Unlimited Channels

• Lectures– Government, Universities, Corporations

• Meetings• Telephone Conversations• Travel Dialogs/Encounters

Can Technology Provide a Solution??

Technology

To Build a Speech Translator for a New Language– 6 Component-Engines: Automatic Speech Recognition, Machine

Translation, and Text-to-Speech Synthesis– Each is in Principle Language Independent,

but Requires Language Dependent Models– Models are Automatically Trained but Require Large Corpora– Certain Language Dependent Peculiarities Exist

Statistical Translation Approach

• Translation and Speech SystemsLearn Automatically

• Statistics Trained over Lots of Data• Uses Parallel or Speech Data• Data Volume is Growing on Internet

Speech Translation

Progression of Technologies:– Domain Limited, Clear Speaking Style (late 80’s-91)

• Janus (first European&US speech-to-speech system)• ATT, NEC, ATR

– Domain Limited, Spontaneous (‘91-’00)• Janus II/III (work on 20 languages),

Verbmobil, Nespole, Enthusiast,C-STAR, ATR, ETRI, NLPR,…

– Mobile Consecutive Interpretation• Transtac, Babylon, Phraselator, Jibbigo, U-STAR

– Domain Unlimited Simultaneous Interpretation• Parliamentary Speeches (TC-STAR)• Broadcast News (GALE)• Lectures, Seminars (InterACT, STAR-DUST, TC-STAR)

Mobile Consecutive InterpretationTechnologies for Cross-Lingual Dialog

Humanitarian Needs• How it is Done Now:

– Human Interpreters– Charts, Dictionaries

• Limitations/Problems:– Limited Supply!!– Fidelity/Trust/Security– Number of Languages

Jibbigo:

– Real-Time Translation

– 15++ languages

– 40,000 Words

– All on the Phone

– No Server Necessary!

Jibbigo on Apple Commercials

Jibbigo Systems

• iTunes & Android App Stores:– English, Spanish, French, German,

Japanese, Chinese, Korean, Filipino, Iraqi, Thai, Pashto, Dari

– Other Languages

• Cost:– Free Jibbigo Online Translator– Off-Line: Freedom from Network

• Outside of App Store:– Enterprise Versions for Special

Applications

Supported Devices

Humanitarian Deployment

Cobra Gold’11Thailand

Cambodia

San Jose , Honduras

Unlimited Domain SimultaneousSpeech Translation Technologies

Domain Unlimited

Domain Unlimited Translators for:– TV/Radio Broadcast Translation– Translation of Lectures and Speeches– Parliamentary Speeches (UN, EU,..)– Telephone Conversations– Meeting Translation

你们的评估准则是什么

Translation of Speeches

University Lectures

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EU-BRIDGE –Bridges across the Language Divide

End-to-End Speech Translation

Lectures of the Future

Meeting of the Future

Arabic

Spanish

EnglishChinese

Seeing Personal Translations

Technology: Heads-up Display Goggles– Display Translation Text in Translation Glasses

Hearing Personal Translations

Targeted Audio– Array of Ultra-Sound Speakers

– Targeted Beam of Audio

– Can only be Heard in Narrow Area

– Multiple Arrays CouldProvide Multiple Languages

Prof. Alex Waibel

Internet Delivery

Students bring their own DevicesTranscription/Translation Outputis Delivered via Web PageInterpretation Done on ServerUser Can Select Languages

ASR

MT

Lecture 1

Lecture 2

Lecture 3

Components Services Events

Service Infrastructure

Adaptation,Learning

New ImprovedTechnologies

Speech-Services forUsers andDevelopers

Prof. Alex Waibel

Lecture Interpretation ServiceLaunch at KIT: Summer 2012,Support for 4 CoursesEU-BRIDGE, Support

• Translation of Power Point Slides• Presentation by Sub-Titles

Tools for Students

Search for Content

• Transcripts useful to Search for Content– Slides, and Lectures in the Cloud– Multi-Lingual Search and Retrieval in

Lectures and Slides by Way of Search Terms

New Challenges

Simultaneous Translation of Lectures•Continuous Monologue

– Broadcast News, Speeches, Lectures•Speaking-Style

– Fast, spontaneous, fragmentary, and no punctuation!!– Noise, Caughing, Singing (!)

•Vocabulary– Much larger, Special Vocabularies

•Speed, Realtime•Service-Infrastructure

– Many parallel lectures;– Automatic, robust assignment of compute power

The German Lecture Translator

• MT in German Lectures is particularly hard. Why?• Peculiarities of German:

– Wordorder:Ich möchte mich zu der Konferenz über Maschinelle Übersetzung anmelden I want to register to the conference on Machine Translation

– Compounds:WorterkennungsfehlerrateWord Recognition Error Rate

– Inflections and Agreement:Zu der nächsten wichtigen interessanten Vorlesung

Words, Words, Words…

• Technical Termsnormally not in ‘normal’ vocabularies– Cepstral-Koeffizienten– Wälzlagerungen Roller Bearings– Unterraum Subspace

• Technical Termswith special Meanings– Klausur Final Exam (not Retreat)– Vorzeichen Sign (not Omen)

• Formulas:– Eff von Ix f(x)

Words, Words, Words….

• Foreign Words in German Language– Computer Science, English Expressions– Political Speeches, Latin Proverbs

• Accent– “Würfelkalkül” (Asfour)

• Foreign Words in German Language– “Cloud”, “iPhone”, “iPad”, “Laser”

• Inflections & Declinations of these Words– Web-ge-casted, down-ge-loaded

• Formation of Compounds:– Cloudbasierter Webcastzugriff

Solution• Use Power Point Slides and Publications• Search Internet for Similar Topics• Incorporate User Corrections• Adapt Vocabulary to Lecture

The Long Tail of Language• Languages:

– Only a Few Languages are Currently Addressed (<50)– Development of Technology Takes Long & Is Expensive

• Ongoing Research to– Lower Cost per Language and Speed Development

Discussion

• Is Interpretation by Machine Possible?– Yes, Performance will Continue to Improve

and be Made Available over the Internet

• Are we Replacing Human Interpreters?– No! Machine Translation Quality Remains Worse

it Lacks Human Judgement and Intuition– But: Human vs. Machine is Usually not the Choice we have!

What about the Rest of us? The Common Reality is:Poor English or No Communication! A Social Challenge!

• Are we Hindering Human Language Learning?– No! Technology Enables and Empowers Human Interaction

thus Motivates and Supports more Language Learning

Our Mission

• Multi-Lingual Understanding & Integration for All• Maintain & Nurture Language Diversity and Heritage• Europe must Provide for its own Effective Support

(and not Outsource or Ignore the Problem)• We Can only Achieve this if we Embrace and Integrate

Both: Human and Machine Support• Achieve Symbiotic, Scalable Solutions by

Language Services that Complement and MagnifyHuman Effort with Machine Support