FLAVIUS Meeting – WP4June 7, 2010

Giurgiu BogdanWong William

Agenda• About Language Weaver • R&D work• Customer experience• LW core mission• LW architectural contribution• Deliverables• Roadmap• Internal milestone rollup• Questions & Answers

Language Weaver at a GlanceFounded 2002. The first commercial science breakthrough in

high speed statistical human language translation

Offices Los Angeles (HQ), Washington DC, Boston, San Francisco, Paris, London, Brussels, Tokyo, & Cluj

Employees 105

Management• Mark Tapling, President & CEO• Daniel Marcu, Founder & CTO• William Wong, Founder & VP Engineering• Adrian Gocan, Country Manager – Cluj Office

Markets Served

• Digital Content / Social Media• Customer Support• Government Intelligence

Language Weaver delivers human communication solutions through trusted automated language translation

Language Weaver Romania

Established 2008

Employees ~50 employees, 5 open positions

Key Areas of Expertise

Development, engineering, telemarketing/marketing, linguists

2 active contracts with the European Union are driven out of this location – FAUST and FLAVIUS

Partnerships Language Weaver Srl has a partnership with Cambridge University to deliver research solutions

FLAVIUS Contributors• LW SRL, Romania

– Daniel Marcu, CTO – Ionel Condor, Engineering Manager– Bogdan Giurgiu, Project Manager – Ana Totea, Engineer– Bogdan Faraga, Engineer– Daniel Sarbe, Engineer– Matei Nicolae, Engineer

R&D Projects• Research Projects

– Improve syntax-based SMT (DARPA funded)– Small footprint systems for SMT– Domain customization techniques for SMT

• R&D Projects– GALE Operational Engines – Broadcast Monitoring

Solutions (speech2text translation)– FAUST – FP7 EC Project

Currently Available Language PairsWestern European Middle Eastern & African Eastern European Danish to/from EnglishDutch to/from EnglishFrench to/from EnglishFrench to/from SpanishFrench to/from GermanItalian to/from EnglishItalian to/from SpanishGerman to/from EnglishGerman to/from SpanishGreek to/from EnglishNorwegian to/from EnglishPortuguese to/from EnglishSpanish to/from EnglishSwedish to/from English

Arabic to/from EnglishArabic to/from FrenchArabic to/from SpanishDari to/from EnglishHebrew to/from EnglishHausa to/from EnglishPashto to/from EnglishPersian to/from EnglishSomali to/from EnglishTurkish to/from EnglishUrdu to/from English

Bulgarian to/from EnglishCzech to/from EnglishHungarian to/from EnglishPolish to/from EnglishRomanian to/from EnglishRussian to/from English Serbian to/from English

Asian Simplified Chinese to/from EnglishTraditional Chinese to/from EnglishHindi to/from EnglishJapanese to/from EnglishKorean to/from EnglishThai to/from EnglishBengali to/from English

*Latest product release enables LW to translate to and from any language that is available with limited quality

Our Customer DeploymentsQUALITY

BaselineTra

ined

Post

Edi

t

Custom

er Care

Digital C

ontent

Lega

l Mark

eting

Publi

catio

ns

FACT INFLUENCE

Governments

Our Customer ExperienceQUALITY

BaselineTra

ined

Post

Edi

t

Custom

er Care

Digital C

ontent

Lega

l Mark

eting

Publi

catio

ns

FACT INFLUENCE

Governments

• Baselines are inadequate for FAUT (fully automated useful translation)

• Lacks utility of translation (usefulness)• Basic translation(gisting) does not convey publisher

needs such as terminology

Customer ExperienceQUALITY

BaselineTra

ined

Post

Edi

t

Custom

er Care

Digital C

ontent

Lega

l Mark

eting

Publi

catio

ns

FACT INFLUENCE

Governments

• Human post edit for preservation of publisher voice

• Humans productivity limited to 2.500 words per day

• High cost prevents time critical high volume publication and user generated content

Customer ExperienceQUALITY

BaselineTra

ined

Post

Edi

t

Custom

er Care

Digital C

ontent

Lega

l Mark

eting

Publi

catio

ns

FACT INFLUENCE

Governments

• Convergence of utility vs. ROI

• Proven trust in actionable content over baseline engines

• Significant cost reduction from influence oriented communications

• Liberates publisher & user generated content

Core Mission for FLAVIUS

Accelerate the adoption of FAUT on a broad scale by leveraging easy customization of domain verticals for content publishers.

FLAVIUS Content Management System

Language Weaver’s Contribution

Keys to a Successful Partner Integration1. Ability to integrate with Language Weaver

Machine Translation for development and testing

2. Ability to customize baseline engines with dictionaries

3. Ability to customize baseline engines with training of domain/customer specific vertical system

Accomplishments To Date (M3)• No pre-financing is expected• Negotiated purchase agreement between LW SRL

and Dell Computers• Purchased 14 Dell servers• Purchased Cisco network switch• Entered into collocation agreement between LW SRL

and Latisys (hosting location in Irvine, CA)• All hardware delivered to Latisys• LW Inc. IT staff installed and deployed to TOD

(Translations on Demand) at 0 cost to LW SRL.• Available languages: English to French, Spanish,

Italian, German, Polish, Romanian, Swedish and vice-versa

Current Activities (M3)

REST APITOD

• LW setup integration partner accounts• Partner start development using TOD REST

API:– HTTP base communication protocol

• Web 2.0 used by Amazon, Twitter, etc.– Supported text formats: TXT, HTML, TMX,

XLIFF

Upgrade TOD Framework (LW Milestone)• Internal milestone for LW to migrate partner

accounts to upgraded TOD framework in month 9

• Provide new functionality outside of the FLAVIUS project but materially benefits the teams.

• Extends current REST API• Trustscore™ enabled baseline engines

• Utility not quality based assessment• Deployed for TripAdvisor and Dell

• Reporting of basic statisticsREST APITOD

Reporting Trustscore™

Customization via Dictionary (M12)• REST API enabled dictionary support • Dictionary upload through API• A dictionary will be specific to an account,

per language pair• i.e. Dell (account), Eng-Spa(LP), Servers

Terminology (dictionary – 1+)

REST APITOD

Reporting Trustscore™ Dictionary

Customization via Training (M21)

d

Parallel Aligned Text

Optional: Regression Text

Optional: Test Text

Evaluation

Data:• Fix noisy text• More text• Text alignment• Text segmentation

Product Delivery viaTOD

LW TrainingCompute Cloud

REST APITOD

Reporting Trustscore™

DictionaryTraining

Complete Picture

REST APITOD

Reporting Trustscore™

DictionaryTraining

FLAVIUS Language Weaver Roadmap

Internal milestonesWho What WhenLW Translation Engines Up and

RunningJune 30th

LW REST API to be used to access the SMT

June 30th

SFT Architecture document should include the details of the translation API

TBD

TBD Project presentation June 30th TBD Project website June 30th

Project logo June 30th

Questions & Answers

Thank you!Accelerating the way the world communicates