ATA 2009 Translation Tools Seminar

1 (CC) Creative Commons. Some Rights Reserved March 14, 2009

2009 ATA Translation Tools Seminar: Computer-Assisted Translation Tools

2009 ATATranslation Tools Seminar

Dierk SeeburgIcoText

2009 ATATranslation Tools Seminar

Computer-Assisted Translation Tools

From Term Extraction to Integrated Translation Environments

(Presentation available at icotext.com in a few days)

Agenda

• Intro• History• ITEs• Questions• Break

• PM, TMS, L18n• Terminology• MT• Questions• Eval

Purpose

•Intro•Overview (incomplete)

•Decision Guide

Survey

•Did you wonder why Jost looks so different?

Marburg

Phoenix

Survey

•Are you a freelance translator?

Survey

•Are you a freelance interpreter?

Survey

•Do you work for an LSP?

Survey

•Do you work in-house?

Glossary

•G11n = Globalization

• I18n = Internationalization

•L10n = Localization

•T9n = Translation

• ITE = Integrated Translation Environment

•TMS = Translation Management System

•MTS = Machine Translation System

•WCMS = Web Content Management System

•GMS = Globalization Management System

Translators and Technology

• Translators & interpreters worldwide

• Translators regularly using Internet

• Translators using translation memory technology

• 300,000

• 30-35,000

• 10-15,000

Source: Jeff Allen

History

"Disdain on the side of the professional translators for the hilarious and stupid MT mistakes gave birth to a new variant of MT called translation memory (TM). TM started off as a lower-level feature of commercial MT systems (...). But the success of TM came with dedicated products such as IBM TM/2 and Trados. The marketing message was tuned in to what the professional translation industry wanted to hear: "Forget about MT; it doesn't work well. Instead, use our TM product because it leaves you in full control of the process."

Jaap van der Meer in MultiLingual 71 (2005)

History

"The message worked well, within a period of 10 to 15 years, TM products have found their way to the workstations of more than 50,000 translators in the world. But the message had also caused a "cognitive disorder" in the translation industry, namely that TM is good and MT is evil, foregoing the fact that TM is just a new variant of MT (...). The damage is done, however, and it will take years to convince the community of business translators that post-editing fuzzy matches from TM databases is, in fact, not different from post-editing fuzzy matches from any other MT system."

Jaap van der Meer in MultiLingual 71 (2005)

Development

•Market demands

•Higher effciencies

•Evolutionary approach:– Letter– FAX– PC– Internet– Translation memory technology

•Spiral goes up: what's next?

Survey

•Do you have more than 1 year experience?

Survey

•Do you have more than 5 years experience?

Survey

Translation Process

•Transfer

•Conversion

• Import

•Pretranslation

•Translation

•Editing

•Terminology Management

•Back-Conversion/-Transfer

CAT Tools

•Computer Assisted Translation tools:– All tools that aid in the translation

process

CAT Tools – Tool Cat's• Integrated Translation Environments (ITEs)

• Translation Management Systems: GlobalSight, LTC Organiser, Translation Offce 3000, Vertimus, ]project-open[

• Term extraction tools: Xerox XTS, LogiTerm, TermExtract, SDLPhraseFinder, Okapi

• Aligners

• Term Management tools: Bitext2tmx, Olifant

• Concordancers: AntConc, WebCONC, Lucon

• Word count tools: PractiCount, AnyCount

• Localization tools: Catalyst, Sisulizer, Lingobit

• Machine translation programs: Apertium, Moses, OpenLogos

• Lookup tools: europeana.eu, perseus.tufts.edu, dict.leo.org, dict.cc

Survey

•Have you used CAT Tools in the past?

Survey

•Are you currently using a CAT Tool?

Survey

•Are you planning on using a CAT Tool in the future?

ITE Categories

•Tools with MS Word as their main translation interface

•Tools with independent translation interface

•Tools for translating online

Translation Memories

The 3 different technologies behind translation memory:

•Reference-based matching on segment level (Star Transit)

•Database-based matching on segment level (most tools)

•Database-based matching on sub-segment level (Multitrans, Logiterm, Find)

Obstacles: File Types

XLIFF, HTML/XHTML, XML, SGML, SVG, PDF, Plain Text, OpenOffce, StarOffce, AbiWord, Corel WordPerfect, CorelDraw, PO/POT (GNU Gettext), CSV, TSV, ASP, PHP, Adobe FrameMaker (MIF), Adobe InDesign (INX), Adobe PageMaker, Adobe Illustrator, Adobe Photoshop, Interleaf /Quicksilver, XGate for QuarkXPress, AutoCAD, DocBook, DITA, Java Properties, JavaScript, RTF, Trados Tagged RTF, Trados TTX, MS Offce 2003 XML, MS Offce 2007, MS Visio, MS Publisher, ResX (Windows .NET Resources), RC (Windows C/C++ Resources), TMX, TBX, XLIFF, SRX, xml:tm, W3C ITS

Obstacles: Standards

• XLIFF• TMX• TBX• SRX• xml:tm• ITS

• Orgs:– ISO– LISA– OASIS– ATA– FIT– ITI

Obstacles: Other

Interoperability User Interface Integration

Strategies

•SWOT•Six Questions•See-Think-Draw

– Situation– Goals– Route

•Strengths: attributes of the organization that are helpful to achieving the objective.

•Weaknesses: attributes of the organization that are harmful to achieving the objective.

•Opportunities: external conditions that are helpful to achieving the objective.

•Threats: external conditions which could do damage to the business's performance.

Source: Wikipedia

Six Questions

•Who•What•Where•When•Why•How

Tools with MS Word as their main translation interface

• Anaphraseus (http://anaphraseus.sourceforge.net/)

• Anymem (http://www.anymem.com/)

• MetaTexis (http://www.metatexis.com)

• MultiTrans (http://www.multicorpora.com)

• Similis (http://www.lingua-et-machina.com)

• Snowball (http://www.trmem.com)

• TinyTM (http://tinytm.sourceforge.net/)

• Trados (http://www.trados.com)

• Wordfast (http://www.wordfast.net)

• WordFisher (http://www.wordfsher.com)

Anaphraseus

Anymem

MetaTexis

MultiTrans

Snowball

TinyTM

Trados

Wordfast

Wordfsher

Tools with independent translation interface

• Across (http://www.across.net)

• AppleTrans (http://www.apple.com/)

• Cafetran (http://www.cafetran.republika.pl/)

• Catalyst (http://www.alchemysoftware.ie/)

• Déjà Vu (http://www.atril.com/)

• Esperantilo (http://www.esperantilo.org/tm/index.html)

• ForeignDesk (http://www.foreigndesk.net/)

• Fusion (http://www.jivefusiontech.com/)

• Heartsome (http://www.heartsome.net/)

• Kbabel (http://kbabel.kde.org/)

• LogiTerm (http://www.terminotix.com/)

Across

AppleTrans

Cafetran

Catalyst

Déjà Vu

EsperantiloTM

ForeignDesk

Fusion

Heartsome

KBabel

LogiTerm

Tools with independent translation interface

• MemoQ (http://www.kilgray.com/)

• OmegaT (http://www.omegat.org/)

• Open Language Editor (http://open-language-tools.dev.java.net/)

• SDL Trados (http://www.sdlx.com/)

• Swordfsh (http://www.maxprograms.com/)

• Sisulizer (http://www.sisulizer.com/)

• Transit (http://www.star-transit.com/)

• Transolution (http://transolution.python-hosting.com/)

• Virtaal (http://translate.sourceforge.net/wiki/virtaal/index)

• WordForge (http://www.khmeros.info/drupal/?q=en/download/Translation_Editor)

OmegaT

Open Language Tools

SDL Trados

Swordfsh

Transolution

Virtaal

Tools for translating online

•Lingotek (http://www.lingotek.com/)•Logoport (http://www.lionbridge.com/)•Pootle (http://translate.sourceforge.net/

wiki/pootle/)

ITE Features

•Leveraging translated content•Building and maintaining terminology

databases •Work in complex fle formats•Methods for analysis •Quality assurance•Project management capabilities

ITEs – The Similarities

•Freely confgurable terminology component

•Unicode and TMX support (with caveats)

•Alignment features, e.g.– AlignFactory– NoBabel AutoAligner

•Similar range of supported fle formats (s. Wikipedia)

•Concordance searches

•Analysis features

ITEs – Differentiators

•Batch vs. individual fle processing

•Terminology handling

•Support for competing formats / TMs / termbases

•Support for co-workers

•Quality assurance

•Remote connectivity

•Code handling

•Support and Training

•Batch vs. individual fle processing

•Déjà Vu vs. Trados

•Terminology handling

•Transit vs. Déjà Vu vs. Wordfast

•Quality assurance

•Trados vs. MemoQ

•Remote connectivity

•Wordfast vs. Lingotek

•Support and Training

•Purchase = frst step only

•Compare to car maintenance

•Support and Training–Tool Vendor Contract–Consultant–College classes–ATA seminars– Jost's Translators Toolkit–Websites: translatorstraining.com,

proz.com, translatorscafe.com

Terminology – Prejudices

•TM tool = emphasis is on the translation memory ?

•More immediate gain: perfect and fuzzy matches

•TMs = easily built up by aligning existing translated fle pairs/texts and/or automatically by translating new texts

•Construction of terminology databases = tedious

Terminology – The Reality

•The terminology database = investment– defning words and phrases

• Grammatically• Contextually• by contrast

•"Living dictionaries" for each segment translated

•Term entries contain meta data relevance

•Consistency throughout workgroups

Translation and Technology:Machine Translation

•Statistically-based machine translation (SBMT)•Rules-based machine translation (RBMT)•Example-based machine translation (EBMT)•Human-assisted machine translation (HAMT)•Hybrid machine translation (HMT)

Translation and Technology:Machine Translation

• Statistically-based machine translation works (sort of)

• Rules-based approach does not work on its own

• Translation can only be evaluated by its effectiveness, not by some elusive goal of "perfection"

• Amount of relevant data can not be translated by humans

• Microsoft

• Symantec

• Systran

• AppTek

• Promt

• Google

Survey

•Are you planning on using an ITE in the future?

Survey

•Are you planning on using a TMS in the future?

Survey

•Are you planning on using a GMS in the future?

Survey

•Are you planning on using an MTS in the future?

Trends•Consolidation

•Machine Translation (SMT, RBMT, EBMT, HAMT)

•Standards (XLIFF, TMX, TBX, SRX)

•Translation Management (CMS, GMS)

•Groups (Yahoo, Google, LinkedIn)

•Blogs (LTD, ThoughtsOnT9n, Masked T9r)

•Translators Sites (ProZ, Translators Cafe, Aquarius)

•Social Sites (Ning, Facebook, Twitter)

• Instant Messaging (SMS, Skype, GTalk)

Trends•Desktop to Server

•Server to Web

•Web to Mobile

•Pretranslation

•Sub-sentence Fuzzy Matching

•UX = User Experience

• Integration

•Collaboration

•Open Source

Survey

•Have you attended the ATA Translation Tools Forum in the past?

Survey

•Are you planning on attending the ATA Translation Tools Forum in the

future?

Take-Home

•Don't buy a golden hammer•Subscribe to LTD News

Jost ZetzscheRosalie P. Wells

ATA Prof'l. Dev. CommitteeATA LT Division

ATA staff, volunteersYou

Acknowledgements

(CC) Creative Commons. Some Rights Reserved March 14, 2009

Thank you!See you in New York in October!

Download slides at <icotext.com>.

(CC) Creative Commons. Some Rights Reserved March 14, 2009

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