flavius_wp4_-_lw_-_d..

premiumlexicographerInternet and Web Development

Dec 8, 2013 (3 years and 11 months ago)

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FLAVIUS Meeting


WP4

June 7, 2010

Giurgiu
Bogdan

Wong William

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Agenda


About Language Weaver


R&D work


Customer experience


LW core mission


LW architectural contribution


Deliverables


Roadmap


Internal milestone rollup


Questions & Answers



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Language Weaver at a Glance

Founded

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

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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

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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

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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


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Currently Available Language Pairs

Western European

Middle Eastern & African

Eastern European

Danish to/from English

Dutch to/from English

French to/from
English

French to/from Spanish

French to/from German

Italian to/from English

Italian
to/from
Spanish

German to/from English

German
to/from
Spanish

Greek to/from English

Norwegian to/from English

Portuguese to/from English

Spanish to/from English

Swedish to/from
English

Arabic to/from English

Arabic to/from French

Arabic to/from Spanish

Dari

to/from English

Hebrew
to/from English

Hausa to/from English

Pashto to/from English

Persian
to/from English

Somali
to/from
English

Turkish to/from English

Urdu to/from
English

Bulgarian to/from English

Czech
to/from English

Hungarian to/from English

Polish to/from English

Romanian to/from English

Russian to/from
English


Serbian to/from English

Asian

Simplified
Chinese to/from English

Traditional Chinese to/from English

Hindi to/from English

Japanese to/from English

Korean to/from
English

Thai to/from English

Bengali to/from English

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

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Our Customer Deployments

QUALITY

FACT

INFLUENCE

Governments

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Our Customer Experience

QUALITY

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

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Customer Experience

QUALITY

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

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Customer Experience

QUALITY

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

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Core Mission for FLAVIUS

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


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FLAVIUS Content Management System

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Language Weaver’s Contribution

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Keys to a Successful Partner Integration

1.
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


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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


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Current Activities (M3)

REST API

TOD


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


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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 statistics



REST API

TOD

Reporting

Trustscore



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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 API

TOD

Reporting

Trustscore



Dictionary

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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 via

TOD

LW Training

Compute Cloud

REST API

TOD

Reporting

Trustscore



Dictionary

Training

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Complete Picture

REST API

TOD

Reporting

Trustscore



Dictionary

Training

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FLAVIUS Language Weaver Roadmap

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Internal milestones

Who

What

When

LW

Translation Engines Up and Running

June

30
th


LW

REST API to be used to access the SMT

June 30
th


SFT

Architecture document should include
the details of the translation API

TBD

TBD

Project presentation

June 30
th


TBD

Project website

June 30
th


Project logo

June

30
th


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Questions & Answers

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Thank you!

Accelerating the way the world communicates