New Breakthroughs in Machine Transation Technology
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The document discusses advancements in machine translation technology by kantanmt.com, highlighting the benefits of a cloud-based statistical MT system that is scalable and cost-effective. It addresses challenges in the localization industry, such as project management and quality assurance for post-editing projects, while introducing tools like kantananalytics™ and kantan buildanalytics for data visualization and performance monitoring. A case study demonstrates significant cost savings and high-quality translations achieved through the integration of machine translation and post-editing processes.
New Breakthroughs in Machine Transation Technology
- 1. No Hardware. No Software. No Hassle MT. New Breakthroughs in Machine Translation Technology in association with#KantanWebinar
- 2. KantanMT.Com NO HARDWARE. NO SOFTWARE. NO HASSLE MT Tony O’Dowd Founder & Chief Architect New Breakthroughs in Machine Translation Technology
- 3. What we aim to cover today? What is KantanMT.com? Challenges of the L10N Industry Making the right Project Management decisions Going beyond the baseline of MT quality Conclusions 15 minutes
- 4. What is KantanMT.com? Statistical MT System Cloud-based = Highly scalable Inexpensive to operate Quick to deploy Our Vision To put Machine Translation: Customization Improvement Deployment …into your hands Active KantanMT Engines 6,191 Training Words Uploaded 28,243,234,615 Member WordsTranslated 427,526,741 Fully Operational 15 months
- 5. Initial Steps of any project are: Determine Scope How long will it take? How much will it cost? What is my margin? Determine resources How many Translators will I need? Introducing KantanAnalytics™ …think Fuzzy-Match report and you’ve got it in one! Challenge #1 How can Project Managers ‘manage’ Post- Editing Projects?
- 6. KantanAnalytics™ Kantan TotalRecall – Advanced TM % of TM hits in this job KantanMT – automated translations % of automated translations for this job Range of QE Scores QE range defined to match existing fuzzy match ranges used by L10N industry Quality Estimation Scores Segment level QE scores – akin to fuzzy match scores Word Counts – Project Stats Can be used to develop Project TimeLine and Tiered Pricing Model for Post-Editing Projects Placeholder & Tag Counts Used by PM for complexity sur-charges KantanAnalytics embeds QE scores into TRADOS Studio MemoQ XLIFF
- 7. KantanAnalytics™ Helping PMs make the right business decisions!
- 8. KantanAnalytics™ - Helping PMs make the right decisions
- 9. Challenge #2: Going beyond the baseline and developing production ready MT! Easy to build 1st baseline engine Aggregate Training Data – TM, Mono, Stock, Terminology Use Cloud-based platform, like KantanMT.com Real Challenge: How do these platforms go beyond the baseline engine and achieve higher levels of production quality Introducing Kantan BuildAnalytics Data analytics and visualisation providing insights into the customisation of SMT engines.
- 10. Kantan BuildAnalytics™ Rapidly develop production ready engines Summary Report Training Rejects Reports F-Measure Analysis BLEU Analysis TER Analysis GAP Analysis Timeline Report Deep Tuning
- 11. Kantan BuildAnalytics™ F-Measure Score Measures word recall & precision of KantanMT engines Distributions Provides distribution of F-Measure scores across all reference translations Kantan Insight™ Holistic analysis of score and advice on how to improve this for KantanMT engines Detailed Analysis Segment level F-Measure analysis to help SMT Developers improve training material
- 12. Kantan BuildAnalytics™ Detailed Reports for: F-Measure, BLEU and TER
- 13. Kantan BuildAnalytics™ Gap Analysis – quickest way of improving fluency
- 14. Kantan BuildAnalytics™ Training Rejects Report – Improve training data rapidly
- 15. Kantan BuildAnalytics™ Timeline – Tracks history of KantanMT engines
- 16. Kantan BuildAnalytics™ - Rapid MT Customisation
- 17. bmmt GmbH and KantanMT: The Real-World Use of Machine Translation Maxim Khalilov Technical Lead bmmt GmbH maxim.khalilov@machine-translation.eu KantanMT webinar April 10, 2014
- 18. MT in industry: context and rationale The combination of these two technologies, well-established TM and cutting-edge MT, plus post-editing allows the creation of a high-quality translation that reads just as well as a “classically” produced translation.
- 19. MT in industry: what about cost? The cost structure changes when machine translation is integrated into the translation pipeline. When machine translation is adopted, the data preparation and quality assurance (editing) costs rise whereas translation costs fall to as low as zero. Most importantly, the total cost of translation is reduced dramatically as illustrated.
- 20. MT case study Customer: big German machine manufacturer Project: 51,000 words, technical documentation. English into German. Approach: hybrid MT/TM. Settings: the files were processed through Trados Studio 2011. Implementation: KantanMT Description: Roughly 7,000 words came from TM as high matches. The remainder went through MT-based pretranslation, followed by a post-editing cycle, with the overall goal to produce the same level of quality as in an all-human translation. Training material: Our customer had not worked in this language combination before, so there was no TM to go on. But we knew that the English authors based their work on material that the customer had previously translated from German into English. Thus we reversed the language direction of the TM and trained a customer-specific engine with this TM. Results: As a result, 44,000 words were post-edited to a final quality level that the customer was very happy with. Cost savings > 30%.
- 21. MT: benefits of KantanMT solution Fully automated system training One-click system customization Automatic data pre-processing Fully automated translation Automatic pre- and post-processing Quality assessment KantanWatch Gap Analysis Reject Report No worry about maintenance and infrastructure
- 22. MT: benefits of KantanMT solution Transparent file format conversion Training material conversion: TM conversion, monolingual material Documents to translate: TMS format into MTable format SDLXliff Smooth terminology integration Consistent terminology Tag handling and mark-up transfer Source: <x id="16480"/>SWord1 SWord2 SWord3 SWord4 <g id="16481">Number</g><g id="16480">SWord 8 SWord 9</g> Target: <x id="16480"/>TWord1 TWord2 TWord3 TWord4 <g id="16480">TWord 8 TWord 9</g><g id="16481">Number</g>
- 23. bmmt GmbH Founded in 2013 by a group of language industry experts who wanted to offer innovative translation technology solutions Three operations centers in Germany: Munich, Berlin and Stuttgart bmmt GmbH heavily relies on KantanMT services from 2013 Primary industries: Automotive and Trucks, Machine Engineering, Telecomunications, Construction, IT Types of documents: workshop texts, product catalogues & other highly repetitive information documents Primary source language: German Integration: SDL Trados, SDL WorldServer and others Find more: www.machine-translation.eu
- 24. Berlin Alt-Moabit 92 10559 Berlin Phone: +49 30-3117505-15 Fax: +49 30-3117505-20 Munich Bernhard-Wicki-Straße 5 80636 Munich Phone: +49 89 2000037-17 Fax: +49 89 2000037-11 Stuttgart Ruppmannstraße 33b 70565 Stuttgart Phone: +49 711 16646-66 Fax: +49 711 16646-50 bmmt GmbH info@machine-translation.eu Thank you
- 25. No Hardware. No Software. No Hassle MT. New Breakthroughs in Machine Translation Technology in association with#KantanWebinar Tony O’Dowd, tonyod@kantanmt.com Maxim Khalilov, maxim.khalilov@machine-translation.eu Speakers