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Konstantin Savenkov
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Machine Translation Insights
1.
1 INTENTO MACHINE TRANSLATION INSIGHTS Konstantin Savenkov CEO Intento ©
Intento, Inc. / May 2020
2.
© Intento, Inc.
/ May 2020 ABOUT US 2 We are freshmen - 3 years in the industry — Tools to procure, utilise and maintain the best-fit AI. Mostly Machine Translation. — Several large enterprise clients (retail, travel, tech) — 40-70 languages each — Injecting MT into TMS, Customer Support, Website Translation, Communication, Software Development, Documentation and more — Procurement (evaluation) → deployment → improvement.
3.
© Intento, Inc.
/ May 2020 WORKING WITH MT SAME AS WITH SOFTWARE BUT DIFFERENT 3 PROCURE — DEPLOY — MAINTAIN train, evaluate and select integrate with software and workflows improve and update
4.
© Intento, Inc.
/ May 2020 PROCURING MT WHAT MAKES DIFFERENT MT DIFFERENT 4 Linguistic quality — Customizability — Tag support FOR A GIVEN MT SYSTEM, ALL THREE DEPEND ON A LANGUAGE PAIR AND DIRECTION
5.
Intento GENERIC STOCK MODELS Alibaba
Amazon Baidu DeepL eBay Google GTCom IBM Kakao Microsoft Mirai ModernMT Niutrans Naver Omniscien PROMT Rozetta SAP SDL Sogou Systran Tencent Tilde Yandex 5© Intento, Inc. / May 2020 VERTICAL STOCK MODELS CUSTOM TERMINOLOGY SUPPORT AUTO DOMAIN ADAPTATION MANUAL DOMAIN ADAPTATION Youdao Alibaba Baidu Cloud Translate Microsoft Omniscien PROMT SAP Systran Amazon Baidu Google IBM Microsoft Rozetta SDL Systran Yandex Globalese Google IBM Kantan Microsoft ModernMT Omniscien SDL Systran Alibaba Baidu Cloud Translate Iconic Omniscien PangeaMT Prompsit PROMT SDL Systran Tilde Yandex All product names, trademarks and registered trademarks are property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks and brands does not imply endorsement. WAYS TO IMPROVE MT
6.
© Intento, Inc.
/ May 2020 PROCURING MT THINGS TO LOOK AFTER 6 Hard segments (for all MT) — Weak spots (for raw MT) — Typical segments (for PEMT) — One big model vs one model per TM — Real-world ROI, not proxy metrics weak spots hard segments typical MTAGREEMENT SENTENCE DIFFICULTY
7.
© Intento, Inc.
/ May 2020 DEPLOYING MT GETTING TO THE ROI 7 Receiving performance feedback — Optimizing MT vs Optimizing workflows — Business side: make sure better MT yields better ROI
8.
© Intento, Inc.
/ May 2020 MAINTAINING MT FOLLOW THE MOVING TARGET 8 Several update cycles: - quick changes (glossaries or per-sentence training) - regular re-training - re-evaluation — Monitoring the technology updates - terminology changes - fluency vs fidelity trade-offs
9.
THANKS! ks@inten.to 9 Konstantin Savenkov, CEO ks@inten.to 2150
Shattuck Ave Berkeley CA 94705 INTENTO https://inten.to
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