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Translation Technologies & Business in the Future

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Niko Papula from Multilizer discusses how language technologies will impact business in the future. Machine translation is increasingly being used alongside human translation to improve efficiency. While still imperfect, machine translation volumes are enormous and provide value. Text analysis is key to understanding large amounts of data and identifying trends. Three global trends - unified communication, information access, and user experience - are driving huge demand for language technology solutions. While challenging the traditional translation industry, language technologies also provide opportunities for innovative companies. Finland risks falling behind globally if it does not actively develop and apply language technologies.

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Language Technologies and Business in the Future Niko Papula, Multilizer KITES Symposium, Helsinki 31.10.2013
Finnish company providing leading translation & localization technologies since 1995 Each month more than 120 million words are translated with Multilizer products in more than 150 countries Multilizer products: Professional localization tools (software localization in particular) Automatic machine translation qualification (MT-Qualifier) Machine translation for PDF documents 2
Agenda: Language Technologies and Business in the Future 1. 2. 3. Current Situation Machine Translation Text Analysis 4. 5. Business Conclusion Niko Papula, Multilizer 3
Tweets by Languages Tweets by languages Source: http://businesstech.co.za/news/internet/37585/twitter-whichlanguage-dominates-the-twitterverse/ Niko Papula, Multilizer 4
Internet by Languages Users: Websites: Niko Papula, Multilizer 5
Only 18 % of EU27 shop online regularly with other languages Niko Papula, Multilizer 6
Only 19 % of EU27 browse for entertainment regularly in other languages Niko Papula, Multilizer 7
Multilingual online world needs MT solutions Nicholas Ostler: The Last Lingua Franca, English Until the Return of Babel Niko Papula, Multilizer 8
Language Technology in Finland? Finland is often a leading country what comes to adopting new technologies but language technologies (LT) for Finnish language are an unfortunate exception. Niko Papula, Multilizer 9
State of Language Technology Support for 30 European Languages Machine Translation Text Analysis Niko Papula, Multilizer 10
Machine Translation Usefulness in European Languages Niko Papula, Multilizer 11
Current State of MT Niko Papula, Multilizer 12
MT will be part of translators work MT already improves translation efficiency and speed: Combination of MT and post-editing is faster than pure human translation. Standard text: English to German 30% faster, English to Spanish 25% faster (source: SDL) MT combined with other LTs will revolutionize translation work: MT evaluation technologies will help in MT post-editing pricing Qualified MT will make post-editing faster Customized MT with controlled language will produce best quality Speech recognition with MT will make interpretation more efficient MT will complement TM Niko Papula, Multilizer 13
Even MT alone brings savings and efficiency 60-70% of respondents prefer imperfect machine translation to the alternative of no translation at all. (Source: Symantec) Machine translation can help you serve more international customers while dramatically reducing the cost of call center operations by averting a minimum of 25% of calls. (Source: Cisco) Machine translation is capable of resolving nearly as many customer support problems as a significantly more costly human translation. (Source: Microsoft, Intel) Niko Papula, Multilizer 14
MT Example: TripAdvisor Customer reviews Niko Papula, Multilizer 15
Although MT is far from perfect its volumes are enormous Microsoft Office users translate over 1.3 million characters each hour using the built-in translation features. http://microsoft-news.com/bing-translator-for-word-powerpoint-2013-launching-today/ Google Translate serves 200 million people daily, and breaks down language barriers a billion times a day. http://news.cnet.com/8301-1023_3-57585143-93/google-translate-now-serves-200-million-peopledaily/ Niko Papula, Multilizer 16
Language technology is the missing piece of the puzzle that makes up the digital single market, said Jochen Hummel, Chairman of LTInnovate http://www.lt-innovate.eu/page/lt-innovate-summit-2012-summary With more than two dozen languages spoken across the EUs 28 countries, communication remains a key impediment to the European economic success. http://associationsnow.com/2013/10/language-trade-group-teams-with-eu-on-translation-tech/ Niko Papula, Multilizer 17
MT + Text Synthesis Text synthesis produces controlled language. e.g. weather reports, sport news and descriptions Controlled language translates very well with machine translation. Example: MTV3 F1 Tulospalvelu Niko Papula, Multilizer 18
MT will be transparent Niko Papula, Multilizer 19
Text Analysis is the key to Data Mining and understanding Big Data The ability to manage and process the tsunami of data across the worlds languages is one of the biggest challenges in the new ICT ecosystem, and one for which LT is a critical enabling technology. says LT-Innovate http://www.lt-innovate.eu/resources/document/infographic-lt2013-report-status-and-potentialeuropean-language-technology-marke Niko Papula, Multilizer 20
A simple example of Text Analysis Niko Papula, Multilizer 21
Another example of Text Analysis I love my BMW! Its such a comfortable car so Ill certainly check out the new 5-series next week Automatic text analysis of the above sentence results in: its about cars strong like of BMW positive towards comfort intent with certainty, to assess the new 5 series time scale, next week Niko Papula, Multilizer 22
Text Analysis helps to monitor data, understand trends and find leads Niko Papula, Multilizer 23
Text analysis will eventually enable computers to understand normal text which will have very farreaching consequences! Niko Papula, Multilizer 24
3 global trends that create huge need for LT based solutions Unified Communication: Connectivity across devices and platforms will offer business and consumer users seamless communications. Unified Information Access: Content sharing in any language and across languages. Unified User Experience: Access, use and understanding of information from large volumes of data. Source: LT2013: Status and Potential of the European Language Technology Markets by LT-Innovate Niko Papula, Multilizer 25
LT is an opportunity to language services industry Language technologies are bringing efficiency to situations which can be improved. LT is not a threat to highest quality services. Language technologies will stretch the language service industry to new areas. Innovative companies can step out of the box and find new business possibilities. Niko Papula, Multilizer 26
Worldwide LT Software & Services Market (B) Niko Papula, Multilizer 27
Natural Language Processing (NLP) Market Worth $9,858.4 Million by 2018 Natural Language Processing (NLP) Market includes IVR, OCR, Pattern Recognition, Auto Coding, Text Analysis, Speech Analysis, Machine Translation, Information Extraction, Question Answer, Report Generation. Worldwide Market Forecast and Analysis (2013 - 2018) by MarketsandMarkets http://finance.yahoo.com/news/natural-language-processing-nlp-market-133000650.html Niko Papula, Multilizer 28
Finland needs to get out of the vicious circle: Better quality Resources on development No improvement Active use Business potential No use No development Niko Papula, Multilizer 29
Summary Global competition favors quick adopters who can offer solutions to all types of language processing needs. The economical focus is expanding to areas where people dont communicate in English. Global companies and individuals will find solutions with or without us. Niko Papula, Multilizer 30
How do you see the future? Contact information: Niko Papula, Multilizer Email: niko.papula@multilizer.com Mobile: +358 50 586 9145 Niko Papula, Multilizer 31

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Translation Technologies & Business in the Future

  • 1. Language Technologies and Business in the Future Niko Papula, Multilizer KITES Symposium, Helsinki 31.10.2013
  • 2. Finnish company providing leading translation & localization technologies since 1995 Each month more than 120 million words are translated with Multilizer products in more than 150 countries Multilizer products: Professional localization tools (software localization in particular) Automatic machine translation qualification (MT-Qualifier) Machine translation for PDF documents 2
  • 3. Agenda: Language Technologies and Business in the Future 1. 2. 3. Current Situation Machine Translation Text Analysis 4. 5. Business Conclusion Niko Papula, Multilizer 3
  • 4. Tweets by Languages Tweets by languages Source: http://businesstech.co.za/news/internet/37585/twitter-whichlanguage-dominates-the-twitterverse/ Niko Papula, Multilizer 4
  • 6. Only 18 % of EU27 shop online regularly with other languages Niko Papula, Multilizer 6
  • 7. Only 19 % of EU27 browse for entertainment regularly in other languages Niko Papula, Multilizer 7
  • 8. Multilingual online world needs MT solutions Nicholas Ostler: The Last Lingua Franca, English Until the Return of Babel Niko Papula, Multilizer 8
  • 9. Language Technology in Finland? Finland is often a leading country what comes to adopting new technologies but language technologies (LT) for Finnish language are an unfortunate exception. Niko Papula, Multilizer 9
  • 10. State of Language Technology Support for 30 European Languages Machine Translation Text Analysis Niko Papula, Multilizer 10
  • 11. Machine Translation Usefulness in European Languages Niko Papula, Multilizer 11
  • 12. Current State of MT Niko Papula, Multilizer 12
  • 13. MT will be part of translators work MT already improves translation efficiency and speed: Combination of MT and post-editing is faster than pure human translation. Standard text: English to German 30% faster, English to Spanish 25% faster (source: SDL) MT combined with other LTs will revolutionize translation work: MT evaluation technologies will help in MT post-editing pricing Qualified MT will make post-editing faster Customized MT with controlled language will produce best quality Speech recognition with MT will make interpretation more efficient MT will complement TM Niko Papula, Multilizer 13
  • 14. Even MT alone brings savings and efficiency 60-70% of respondents prefer imperfect machine translation to the alternative of no translation at all. (Source: Symantec) Machine translation can help you serve more international customers while dramatically reducing the cost of call center operations by averting a minimum of 25% of calls. (Source: Cisco) Machine translation is capable of resolving nearly as many customer support problems as a significantly more costly human translation. (Source: Microsoft, Intel) Niko Papula, Multilizer 14
  • 16. Although MT is far from perfect its volumes are enormous Microsoft Office users translate over 1.3 million characters each hour using the built-in translation features. http://microsoft-news.com/bing-translator-for-word-powerpoint-2013-launching-today/ Google Translate serves 200 million people daily, and breaks down language barriers a billion times a day. http://news.cnet.com/8301-1023_3-57585143-93/google-translate-now-serves-200-million-peopledaily/ Niko Papula, Multilizer 16
  • 17. Language technology is the missing piece of the puzzle that makes up the digital single market, said Jochen Hummel, Chairman of LTInnovate http://www.lt-innovate.eu/page/lt-innovate-summit-2012-summary With more than two dozen languages spoken across the EUs 28 countries, communication remains a key impediment to the European economic success. http://associationsnow.com/2013/10/language-trade-group-teams-with-eu-on-translation-tech/ Niko Papula, Multilizer 17
  • 18. MT + Text Synthesis Text synthesis produces controlled language. e.g. weather reports, sport news and descriptions Controlled language translates very well with machine translation. Example: MTV3 F1 Tulospalvelu Niko Papula, Multilizer 18
  • 19. MT will be transparent Niko Papula, Multilizer 19
  • 20. Text Analysis is the key to Data Mining and understanding Big Data The ability to manage and process the tsunami of data across the worlds languages is one of the biggest challenges in the new ICT ecosystem, and one for which LT is a critical enabling technology. says LT-Innovate http://www.lt-innovate.eu/resources/document/infographic-lt2013-report-status-and-potentialeuropean-language-technology-marke Niko Papula, Multilizer 20
  • 21. A simple example of Text Analysis Niko Papula, Multilizer 21
  • 22. Another example of Text Analysis I love my BMW! Its such a comfortable car so Ill certainly check out the new 5-series next week Automatic text analysis of the above sentence results in: its about cars strong like of BMW positive towards comfort intent with certainty, to assess the new 5 series time scale, next week Niko Papula, Multilizer 22
  • 23. Text Analysis helps to monitor data, understand trends and find leads Niko Papula, Multilizer 23
  • 24. Text analysis will eventually enable computers to understand normal text which will have very farreaching consequences! Niko Papula, Multilizer 24
  • 25. 3 global trends that create huge need for LT based solutions Unified Communication: Connectivity across devices and platforms will offer business and consumer users seamless communications. Unified Information Access: Content sharing in any language and across languages. Unified User Experience: Access, use and understanding of information from large volumes of data. Source: LT2013: Status and Potential of the European Language Technology Markets by LT-Innovate Niko Papula, Multilizer 25
  • 26. LT is an opportunity to language services industry Language technologies are bringing efficiency to situations which can be improved. LT is not a threat to highest quality services. Language technologies will stretch the language service industry to new areas. Innovative companies can step out of the box and find new business possibilities. Niko Papula, Multilizer 26
  • 27. Worldwide LT Software & Services Market (B) Niko Papula, Multilizer 27
  • 28. Natural Language Processing (NLP) Market Worth $9,858.4 Million by 2018 Natural Language Processing (NLP) Market includes IVR, OCR, Pattern Recognition, Auto Coding, Text Analysis, Speech Analysis, Machine Translation, Information Extraction, Question Answer, Report Generation. Worldwide Market Forecast and Analysis (2013 - 2018) by MarketsandMarkets http://finance.yahoo.com/news/natural-language-processing-nlp-market-133000650.html Niko Papula, Multilizer 28
  • 29. Finland needs to get out of the vicious circle: Better quality Resources on development No improvement Active use Business potential No use No development Niko Papula, Multilizer 29
  • 30. Summary Global competition favors quick adopters who can offer solutions to all types of language processing needs. The economical focus is expanding to areas where people dont communicate in English. Global companies and individuals will find solutions with or without us. Niko Papula, Multilizer 30
  • 31. How do you see the future? Contact information: Niko Papula, Multilizer Email: niko.papula@multilizer.com Mobile: +358 50 586 9145 Niko Papula, Multilizer 31