Manuel Herranz presents at TMS Inspiration Days, on Pangeanic's use case, the application of MT to LSPs, the Pangeanic development case. Unveiling feature-rich PangeaMT Saas Power, Pangeanic's v3.

1. Manuel Herranz
#manuelhrrnz #pangeanic pangeanic E: mherranz@pangea.com.mt

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4. 2007 and before
2007/08 • RB tests with commercial software
• Insufficiently good output
• V1: Small data sets (2-5M words), • Only internal production
automotive & electronics • EU Post-Editing Award
• (ES), then Fr/It/De in other fields
2009/10
• Division born
• 00's of engine trials and
language combinations
• Open-Source to commercial
2011/12 • TMX / XLIFF workflows
• DIY SMT
• Empower Users
• Glossary
• Automated re-training
• Transfer architecture
and know-how to users
• Compatibility with
commercial formats
(ttx, sdlxliff, itd)

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
Translation MT+PE
Automotive 400 wph 900 wph
Marketing 250 wph 450 wph
Software 350 wph 1,000 wph
•

9. Traditional Translation Workflow
TM
Find exact matches or % Human Post-editing / Revision
Translation
Next Generation MT-based
TM
Find exact matches or % Post-editing / Revision
PANGEAMT
Translation

10. Unrest is continuing in Cairo as protesters set up their demand for Egypt’s
military rulers to resign
+ specific language rules
+ job or client glossary
+ hybrid technologies

11. Language
 Linguistic
Knowledge
Information


Data
Output Translation

13. 発売 時 には、 同社は 次の バージョンを 提供する 予定 です 。
Translation & Cleaning
available When , the company the following : plans to offer :
Nipponization module
(Cond clause), (Predicate)
(Subject) (VBPt) (to)
(ADV) (ADJ) (Punct) (DET) (NNSing) (VBPt3) (to) (VBinf) (DET) (NN)
When available, the company plans to offer the following:

14. <tu srclang="en-GB">
<tuv xml:lang="EN-GB">
<seg>A system for recovering the methane that is emitted from the manure so that
it does not leak into the atmosphere.</seg>
</tuv>
<tuv xml:lang="FR-FR">
<seg>Système permettant de r€ pérer le méthane qui se dégage de l'engrais naturel
d'origine animale de sorte qu'il ne se dissipe pas dans l'atmosphère.</seg>
</tuv>
<tu creationdate="20090817T114430Z" creationid="APIACCESS"
changedate="20110617T141159Z" changeid=“pat">
<tuv xml:lang="EN-US">
<seg>Overall heigtht –<bpt i="1">{f43 </bpt> <ept i="1">}</ept>25&quot;; width –
<bpt i="2">{f43 </bpt> <ept i="2">}</ept>20.1&quot;.</seg>
</tuv>
<tuv xml:lang="ES-EM">
<seg><bpt i="1">{f2 </bpt>Altura total - 25&quot;; anchura <ept i="1">}</ept>–
<bpt i="2">{f43 </bpt> <ept i="2">}</ept><bpt i="3">{f2 </bpt>20,1&quot;.<ept
i="3">}</ept></seg>
</tuv>
</tu>
<tuv xml:lang=“EN-US">
<seg>On 22nd May we decided not to join the group.</seg>
<tuv xml:lang=“DE-DE">
<seg>Am 22. </seg>

15. <tu srclang="en-GB">
<tuv xml:lang="EN-GB">
<seg>The President of the United States visited Costa Rica.</seg>
</tuv>
<tuv xml:lang=“ES-ES">
<seg>El Presidente de los Estados Unidos, el señor Obama y su esposa la señora
Michelle, visitaron Costa Rica el pasado sábado.</seg>
</tuv>
<tuv xml:lang=“JP">
<seg>同書は「通訳・翻訳キャリアガイド」の2011-2012年度版。
英字新聞のジャパンタイムズ社が強みとするジャーナリスティックな視点で、通訳や翻訳という仕事が持つ魅力ややりが
い、プロに要求されるスキルおよび意識の持ち方などを紹介。また通訳者・翻訳者になるための道すじから、実際の仕
事の現場にいたるまで、今日の通訳・翻訳業界の実像を包括的に紹介。</seg>
<tuv xml:lang=“EN-US">
<seg>It is a journalistic point of view and strengths of the English-
language newspaper Japan Times. It includes a description of the exciting and
rewarding work of translation and interpretation, as well as the introduction of
consciousness and how to acquire the required professional skills. The road to
becoming a translator and interpreter also down to the actual work site, a
comprehensive guide to interpreting the reality of today'stranslation industry.
</seg>

16. DATA CLEANING CYCLE (AUTOMATED)
Parallel text extraction / Translation
input / Post-edited material Data Cleaning (in-lines)
This is often comes from CAT tools or document Remove all non-translation
alignments, crawling data.
Engine training with Data cleaning modules
clean data • Remove any “suspects”:
Having approved, • Sentences that are too
terminologically sound, long
clean data improves engine • Mismatches (of many
accuracy and performance TMX Human approval kinds!)
with even small sets of
Some of this material may • Terminological
data.
actually be OK for training. It inaccuracies
is then input in the training • Non-useful segments, etc
set.

17. On-line Automated Engine Training

18. Translation request (+API, webservice, etc)

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21. Myth: MT will never be as good
as humans
uhmmm, it is going to get really good...
2nd stage
PE material and more data make engines even
more predictable. More specialist engines
1st stage
We are creating usable engines, first PE
experiences 2009-2015 or 2020
3rd stage
Beyond 2030... no predictions
“We cannot solve the problem using the
same tools and the way of thinking that
created it” A. Einstein

22. Manuel Herranz
#manuelhrrnz #pangeanic pangeanic E: mherranz@pangea.com.mt