Datafication of translation (Welocalize)
•Download as PPTX, PDF•
0 likes•484 views
The goal of this session was to share practical experience and debate points of view on how data is key to modern service optimization and innovation. The panelists have all first hand experience in creating data analysis infrastructure and utilizing it for strategic goals. Ultimate goal is to hopefully share a passion for data-driven exploration of the translation world with the audience and how this can help us take the right decisions for our business day-to-day.
Report
Share
Report
Share
Recommended
CV_ColleenChen_2015
Colleen Pam Chen has a Masters in Computational Science from San Diego State University and relevant experience using machine learning and neuroimaging software to study autism. She has published journal articles on classifying and diagnosing autism using functional MRI data and presented her research at conferences. Her work at SDSU and Source Signal Imaging involved developing computational methods to detect neuroelectric-hemodynamic couplings in EEG-fMRI data and examining atypical connectivity patterns in autism.
resume
Badula Revathi is seeking a summer internship in data science with a focus on data analysis and big data. She has a Master's degree in Computer Science and relevant coursework including machine learning, data mining, and databases. Her technical skills include programming languages like R, Python, SQL, and tools like Tableau and MongoDB. Her past work experience includes database process analysis and she has done relevant project work involving semi-structured data processing using Apache Pig and Hadoop and developing a football wiki using MySQL and PHP. She is also certified in data mining and SAS.
Chaithra
Chaithra.S has a bachelor's degree in Information Science and Engineering from Kalpataru Institute of Technology. She has skills in Java, JDBC, JEE, Servlets, JSP, MySQL, Oracle, and development tools like Eclipse. Her academic project involved designing a wireless sensor network security model using zero knowledge protocol in Java and MySQL. She has strengths in problem solving, interpersonal skills, and teamwork. Her objective is to work in an environment that enhances her skills and allows her to contribute fully to a company.
Scott Leitstein Georgia Tech Educational Highlights
This document summarizes the educational highlights of a Master of Science in Computer Science - Interactive Intelligence degree from the Georgia Institute of Technology between 2014-2016. It details the coursework, projects, and skills developed including programming in languages such as C, C++, Java, Python, and JavaScript. Projects focused on areas like information security, computer networks, software development, artificial intelligence, robotics, and operating systems. Specific projects included developing malware analysis tools, implementing routing protocols, creating synchronized mobile applications, developing AI games and algorithms, programming robots, and building distributed systems.
TAUS Global Content Summit Amsterdam 2019 / Beyond MT. A few premature reflec...
TAUS Global Content Summit Amsterdam 2019 / Beyond MT. A few premature reflec...TAUS - The Language Data Network
Beyond MT. A few premature reflections on the use of AI in translation. By Dieter Rummel (Head of Informatics, DGT European Commission)TAUS Global Content Summit Amsterdam 2019 / Measure with DQF, Dace Dzeguze (T...
TAUS Global Content Summit Amsterdam 2019 / Measure with DQF, Dace Dzeguze (T...TAUS - The Language Data Network
The document introduces the Dynamic Quality Framework (DQF), which aims to standardize quality measurements across the translation industry. It describes DQF as inclusive, industry-shared, and data-informed. The framework integrates with common CAT tools and TMS through open APIs to collect translation and review data and provide interactive dashboards and reports for performance tracking and benchmarking at the project and organizational level.TAUS Global Content Summit Amsterdam 2019 / Automatic for the People by Domin...
TAUS Global Content Summit Amsterdam 2019 / Automatic for the People by Domin...TAUS - The Language Data Network
The document discusses the evolution of machine translation (MT) technology over time from early conceptual ideas to modern neural machine translation (NMT) systems. It uses metaphors of a band changing their sound over time by adding new band members, such as an "MT guy", to represent how translation companies can adapt to new technologies. The presentation encourages translation businesses to thoughtfully integrate new tools like NMT by involving stakeholders and focusing on people in the process of transition.TAUS Global Content Summit Amsterdam 2019 / The Quantum Leap: Human Parity, C...
TAUS Global Content Summit Amsterdam 2019 / The Quantum Leap: Human Parity, C...TAUS - The Language Data Network
The document summarizes the results of a machine translation evaluation that compared human and machine translations. Several human and machine translation systems were evaluated on a test set containing sentences translated between English and Chinese. The top performing systems were combinations of human and machine translations. There was criticism of claims of machine translation achieving "human parity" due to limitations in the test set only using sentences rather than documents, and evaluators not being qualified translators. Neural machine translation systems are argued to have advantages over statistical and rule-based systems by processing full sentences and storing additional context in hidden layers.Recommended
CV_ColleenChen_2015
Colleen Pam Chen has a Masters in Computational Science from San Diego State University and relevant experience using machine learning and neuroimaging software to study autism. She has published journal articles on classifying and diagnosing autism using functional MRI data and presented her research at conferences. Her work at SDSU and Source Signal Imaging involved developing computational methods to detect neuroelectric-hemodynamic couplings in EEG-fMRI data and examining atypical connectivity patterns in autism.
resume
Badula Revathi is seeking a summer internship in data science with a focus on data analysis and big data. She has a Master's degree in Computer Science and relevant coursework including machine learning, data mining, and databases. Her technical skills include programming languages like R, Python, SQL, and tools like Tableau and MongoDB. Her past work experience includes database process analysis and she has done relevant project work involving semi-structured data processing using Apache Pig and Hadoop and developing a football wiki using MySQL and PHP. She is also certified in data mining and SAS.
Chaithra
Chaithra.S has a bachelor's degree in Information Science and Engineering from Kalpataru Institute of Technology. She has skills in Java, JDBC, JEE, Servlets, JSP, MySQL, Oracle, and development tools like Eclipse. Her academic project involved designing a wireless sensor network security model using zero knowledge protocol in Java and MySQL. She has strengths in problem solving, interpersonal skills, and teamwork. Her objective is to work in an environment that enhances her skills and allows her to contribute fully to a company.
Scott Leitstein Georgia Tech Educational Highlights
This document summarizes the educational highlights of a Master of Science in Computer Science - Interactive Intelligence degree from the Georgia Institute of Technology between 2014-2016. It details the coursework, projects, and skills developed including programming in languages such as C, C++, Java, Python, and JavaScript. Projects focused on areas like information security, computer networks, software development, artificial intelligence, robotics, and operating systems. Specific projects included developing malware analysis tools, implementing routing protocols, creating synchronized mobile applications, developing AI games and algorithms, programming robots, and building distributed systems.
TAUS Global Content Summit Amsterdam 2019 / Beyond MT. A few premature reflec...
TAUS Global Content Summit Amsterdam 2019 / Beyond MT. A few premature reflec...TAUS - The Language Data Network
Beyond MT. A few premature reflections on the use of AI in translation. By Dieter Rummel (Head of Informatics, DGT European Commission)TAUS Global Content Summit Amsterdam 2019 / Measure with DQF, Dace Dzeguze (T...
TAUS Global Content Summit Amsterdam 2019 / Measure with DQF, Dace Dzeguze (T...TAUS - The Language Data Network
The document introduces the Dynamic Quality Framework (DQF), which aims to standardize quality measurements across the translation industry. It describes DQF as inclusive, industry-shared, and data-informed. The framework integrates with common CAT tools and TMS through open APIs to collect translation and review data and provide interactive dashboards and reports for performance tracking and benchmarking at the project and organizational level.TAUS Global Content Summit Amsterdam 2019 / Automatic for the People by Domin...
TAUS Global Content Summit Amsterdam 2019 / Automatic for the People by Domin...TAUS - The Language Data Network
The document discusses the evolution of machine translation (MT) technology over time from early conceptual ideas to modern neural machine translation (NMT) systems. It uses metaphors of a band changing their sound over time by adding new band members, such as an "MT guy", to represent how translation companies can adapt to new technologies. The presentation encourages translation businesses to thoughtfully integrate new tools like NMT by involving stakeholders and focusing on people in the process of transition.TAUS Global Content Summit Amsterdam 2019 / The Quantum Leap: Human Parity, C...
TAUS Global Content Summit Amsterdam 2019 / The Quantum Leap: Human Parity, C...TAUS - The Language Data Network
The document summarizes the results of a machine translation evaluation that compared human and machine translations. Several human and machine translation systems were evaluated on a test set containing sentences translated between English and Chinese. The top performing systems were combinations of human and machine translations. There was criticism of claims of machine translation achieving "human parity" due to limitations in the test set only using sentences rather than documents, and evaluators not being qualified translators. Neural machine translation systems are argued to have advantages over statistical and rule-based systems by processing full sentences and storing additional context in hidden layers.TAUS Global Content Summit Amsterdam 2019 / Growing Business by Connecting Co...
TAUS Global Content Summit Amsterdam 2019 / Growing Business by Connecting Co...TAUS - The Language Data Network
The document discusses how artificial intelligence and neural machine translation will change the role of human translation over time. While AI can handle the translation process at scale, humans will still be needed for local knowledge, problem solving, and tasks like optimizing processes, improving output quality, and ensuring quality. However, a fragmented technology landscape slows businesses down. The solution proposed is an integrated localization hub that connects content systems, translation technology, and translation services through a single API to address current issues where technical knowledge and system fragmentation are still barriers.Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (P...
Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (P...TAUS - The Language Data Network
As contents published on the Internet are becoming more and more dominated by videos, requirements on the language translation have also changed. Specifically, video publishers and distributors have a significant interest in balancing both the translation time and the accuracy. To this end, Pactera has invested in solutions, which leverage machine translation to reduce the overall translation time, and recruit human translators to improve the accuracy in a Wikipedia-like fashion. At Pactera, we aim to help video contents to reach billions of people that were not possible before.Introduction Innovation Contest Shenzhen by Henri Broekmate (Lionbridge)
Introduction Innovation Contest Shenzhen by Henri Broekmate (Lionbridge)TAUS - The Language Data Network
The document discusses innovation in machine translation and language technology. It notes that translation is becoming more data-driven and algorithmic, with machines learning from large amounts of data. It also mentions that translation may become invisible and automated like utilities such as electricity. The document then lists some concepts characterizing innovative contest candidates in game changer awards, such as advanced machine translation, artificial intelligence, and automated quality evaluation. Finally, it states that six contestants will each have six minutes to pitch their innovative ideas. Game Changer for Linguistic Review: Shifting the Paradigm, Klaus Fleischmann...
Game Changer for Linguistic Review: Shifting the Paradigm, Klaus Fleischmann...TAUS - The Language Data Network
Review processes as the last step in quality assurance workflows are “notorious for causing delays and frustrations”. The reason normally is a flawed process: Many manual steps for the PMs, the lack of intuitive, layout-oriented collaboration software, plus the expectation of review to “fix a broken translation” in the last second rather than giving strategic process input. globalReview shifts this paradigm: As an integrated, collaborative platform with full layout editing it provides a positive review experience. At the same time, it pushes quality upstream applying DQF principles: Flexible content profiles define precise quality expectations; issue categories and scoring effectively gauge and also track translation quality over time; a sampling module allows for fast yet accurate quality evaluation. Put together, this allows the customer to raise the process from painful review to strategic quality management and gain valuable business intelligence.A translation memory P2P trading platform - to make global translation memory...
A translation memory P2P trading platform - to make global translation memory...TAUS - The Language Data Network
A global P2P Trading Platform for TMs will be introduced. Tmxmall TM marketplace is the core, and client TM software and CATs are the input and output respectively. User of CATs is able to search the TMs of client users while it does not require client users to upload TMs to the cloud.Shiyibao — The Most Efficient Translation Feedback System Ever, Guanqing Hao ...
Shiyibao — The Most Efficient Translation Feedback System Ever, Guanqing Hao ...TAUS - The Language Data Network
The presentation will introduce the NLP technologies used in Shiyibao and the main product features, covering the following points:
Function of giving automatic grades for translations based on translation quality automatic evaluation algorithm;
Function of giving automatic comments based on rules matching;
Function of sorting translations according to their similarity or some specific fragments to dramatically improve the efficiency of reviewing and commenting on translations. Stepes – Instant Human Translation Services for the Digital World, Carl Yao (...
Stepes – Instant Human Translation Services for the Digital World, Carl Yao (...TAUS - The Language Data Network
In today’s digital economy, content is becoming smaller, more fragmented, and in need of on-demand translation in minutes and around the clock. Traditional localization models are no longer sufficient in meeting these always-on, agile, fast, and small translation requirements of the digital age. This is why mobile translation services like Stepes that are able to deliver quality, speed, and scalability are poised to see tremendous growth. During this 6-minute presentation, Stepes will demonstrate live its instant human translation service for micro content. Powered by human translators from around the world, Stepes is the world’s first mobile translation ecosystem delivering quality translation services using a networking model similar to Uber and Lyft.Farmer Lv (TrueTran)
This document discusses TruTran's open machine translation platform and the trends in machine translation engine development. It notes that neural network technology allows each company to have its own customized trained neural machine translation engine. The open source nature of neural networks means that machine translation will be "generalized" or available to more users. However, enterprises currently lack professionals skilled in natural language processing and training data can be difficult to process. TruTran's platform aims to address these issues by allowing users to easily upload custom training data and corpora, select a domain to train an engine, and have the engine trained within 6 days on the platform's resources. This gives each company their own commercial-grade machine translation engine at low cost and with their
Smart Translation Resource Management: Semantic Matching, Kirk Zhang (Wiitran...
Smart Translation Resource Management: Semantic Matching, Kirk Zhang (Wiitran...TAUS - The Language Data Network
Kirk Zhang, the COO of Wiitrans, presented on their semantic matching and translator resource management tools which aim to deliver high quality translations by matching content to appropriate translators based on their individual translator profiles and histories. The tools analyze translator-specific language assets, glossaries, and translation memories to best match work to translators and simplify the translation process. The Theory and Practice of Computer Aided Translation Training System, Liu Q...
The Theory and Practice of Computer Aided Translation Training System, Liu Q...TAUS - The Language Data Network
The document describes a computer-aided translation and interpretation training system called CATS. It provides course management, multi-lingual resource centers, and translation management platforms to support online translation and interpretation courses. CATS allows instructors to upload multimedia content and documents, create translation cases and assignments, and evaluate student work. It aims to improve over traditional methods of collecting assignments through email by offering an integrated online platform for pre-class, in-class, and post-class activities.Translation Technology Showcase in Shenzhen
The document announces a Translation Technology Showcase event hosted by TAUS on February 28, 2017 in Shenzhen. The event will feature presentations from various translation technology companies on topics like multichannel translation for the digital economy, using free and open source tools, leveraging large translation memories, and neural machine translation. The agenda lists out the scheduled presentations and their times. The document also mentions that TAUS recently published an updated Translation Technology Landscape Report covering trends in the industry and profiles of over 80 companies.
How to efficiently use large-scale TMs in translation, Jing Zhang (Tmxmall)
How to efficiently use large-scale TMs in translation, Jing Zhang (Tmxmall)TAUS - The Language Data Network
Most of LSPs have not converted the translated bilingual documents to TM till now. Even the LSPs have established TMs, they are also confronted with disordered management of TMs and low efficiency. This report will share the way of quick TM establishment with Tmxmall Cloud-Based Smart Aligner, the way of Management of large-scale TMs with Private Cloud-Based TM for achieving pre-translation with large-scale TMs and team cooperation and etc.. Besides, the report will introduce Tmxmall TM marketplace, which is expected to promote TM sharing. Finally, we will share the experience of LSPs on alignment and Private Cloud-Based TM management for reducing translation costs and increasing profits.SDL Trados Studio 2017, Jocelyn He (SDL)
SDL is the leader in global content management and language translation solutions. With more than 20 years of experience, SDL helps companies build relevant online experiences that deliver transformative business results on a global scale. Translation Industry continues to grow, and Freelancers, LSPs and Corporate clients all see increased demand as more and more content is created, so we have to address them all. As a Market-leading translation productivity tool, SDL Trados Studio is trusted by over 200,000 translation professionals to boost productivity, control quality and aid collaboration. SDL has launched Trados Studio 2017. This presentation will introduce SDL Trados Studio 2017 and highlight SDL’s new productivity booster- UPLIFT, which is well welcomed by global clients.
How we train post-editors - Yongpeng Wei (Lingosail)
This document discusses Lingosail's translation technology products and services, including machine translation, corpus construction, and translation services. It outlines how Lingosail's machine translation process editing (MTPE) solutions can provide easier entry into translation for clients, higher translation efficiency, and more scalable management of translation workflows. The document also describes Lingosail's patent post-editing training course for translators, which saw hundreds of participants last year, and resulted in trainees increasing their translation speed and quality after training.
A use-case for getting MT into your company, Kerstin Berns (berns language c...
A use-case for getting MT into your company, Kerstin Berns (berns language c...TAUS - The Language Data Network
This document discusses how to introduce machine translation (MT) into a company to improve localization processes. It outlines challenges with the current process of 30 localization loops involving 40 translators across different locations with no quality or cost control. Introducing MT for display text localization could speed up availability, lower costs by 25%, and reduce unnecessary translation loops by 50%. A short-term goal is to use MT for development phases with a final quality loop involving human translation and post-editing. Long-term preparation is needed to expand MT use while addressing risks, quality guidelines, and system environments.QE integrated in XTM, by Bob Willans (XTM)
This document discusses integrating XTM Cloud and TAUS DQF to enable higher quality translation projects. Key steps include creating accounts in both systems, configuring LQA parameters and issues in XTM, creating translation projects in XTM with LQA steps, performing translations and LQA reviews in XTM, and then viewing productivity and quality results in the TAUS DQF system. The integration is meant to provide benefits like higher productivity, improved quality, and better data to evaluate machine translation systems.
How Existing Quality Models Get Challenged, by Katka Gasova (Moravia)
How Existing Quality Models Get Challenged, by Katka Gasova (Moravia)TAUS - The Language Data Network
Quality standards in the industry have come a long way. They have evolved over the years, but their focus on quality definitions based on errors and metrics has remained the accepted wisdom. Expectations of end users are changing. Every piece of content has a job to do, and it is often to touch the heart of users rather than just the mind by delivering information that is accurate and whose quality is measurable. A new “quality evaluation paradigm” is emerging. This calls for a new profile for translators, one that is different from what has been typical for the past few decades. This presentation will look at this trend in more detail, considering how to test these new types of translators fast and effectively. What matters in this emerging quality model and what does it possibly mean for DQF?Traditional Models of Translation Outsourcing Seem Well-Established and Sound...
Traditional Models of Translation Outsourcing Seem Well-Established and Sound...TAUS - The Language Data Network
Traditional Models of Translation Outsourcing Seem Well-Established and Sound. Are there alternatives? by Marek Piorkowski (Text United)Smarter, Faster, Better: The secrets of productive Machine Translation, Tony ...
Smarter, Faster, Better: The secrets of productive Machine Translation, Tony ...TAUS - The Language Data Network
The document discusses KantanMT's machine translation platform and services, including its neural machine translation technology (KantanNeuralTM). It provides details on KantanNeuralTM developments, including initial automated test score comparisons between statistical and neural MT, as well as upcoming professional translator A/B testing and domain-adapted neural MT.QE Made Easy by Attila Görög (TAUS)
Quality evaluation is a costly task in the translation sector. It can take up more than 20% of the time spent on the actual translation production. Quality reporting is costly too. It is still a highly manual task, for most of us at least. And what’s worse, we find it hard to assure and deliver the quality that our customers and end-users need and want. In short, quality evaluation in the translation industry is failing.
Competition and Regulation in Professions and Occupations – ROBSON – June 202...
Competition and Regulation in Professions and Occupations – ROBSON – June 202...OECD Directorate for Financial and Enterprise Affairs
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussion
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussionOECD Directorate for Financial and Enterprise Affairs
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
More Related Content
More from TAUS - The Language Data Network
TAUS Global Content Summit Amsterdam 2019 / Growing Business by Connecting Co...
TAUS Global Content Summit Amsterdam 2019 / Growing Business by Connecting Co...TAUS - The Language Data Network
The document discusses how artificial intelligence and neural machine translation will change the role of human translation over time. While AI can handle the translation process at scale, humans will still be needed for local knowledge, problem solving, and tasks like optimizing processes, improving output quality, and ensuring quality. However, a fragmented technology landscape slows businesses down. The solution proposed is an integrated localization hub that connects content systems, translation technology, and translation services through a single API to address current issues where technical knowledge and system fragmentation are still barriers.Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (P...
Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (P...TAUS - The Language Data Network
As contents published on the Internet are becoming more and more dominated by videos, requirements on the language translation have also changed. Specifically, video publishers and distributors have a significant interest in balancing both the translation time and the accuracy. To this end, Pactera has invested in solutions, which leverage machine translation to reduce the overall translation time, and recruit human translators to improve the accuracy in a Wikipedia-like fashion. At Pactera, we aim to help video contents to reach billions of people that were not possible before.Introduction Innovation Contest Shenzhen by Henri Broekmate (Lionbridge)
Introduction Innovation Contest Shenzhen by Henri Broekmate (Lionbridge)TAUS - The Language Data Network
The document discusses innovation in machine translation and language technology. It notes that translation is becoming more data-driven and algorithmic, with machines learning from large amounts of data. It also mentions that translation may become invisible and automated like utilities such as electricity. The document then lists some concepts characterizing innovative contest candidates in game changer awards, such as advanced machine translation, artificial intelligence, and automated quality evaluation. Finally, it states that six contestants will each have six minutes to pitch their innovative ideas. Game Changer for Linguistic Review: Shifting the Paradigm, Klaus Fleischmann...
Game Changer for Linguistic Review: Shifting the Paradigm, Klaus Fleischmann...TAUS - The Language Data Network
Review processes as the last step in quality assurance workflows are “notorious for causing delays and frustrations”. The reason normally is a flawed process: Many manual steps for the PMs, the lack of intuitive, layout-oriented collaboration software, plus the expectation of review to “fix a broken translation” in the last second rather than giving strategic process input. globalReview shifts this paradigm: As an integrated, collaborative platform with full layout editing it provides a positive review experience. At the same time, it pushes quality upstream applying DQF principles: Flexible content profiles define precise quality expectations; issue categories and scoring effectively gauge and also track translation quality over time; a sampling module allows for fast yet accurate quality evaluation. Put together, this allows the customer to raise the process from painful review to strategic quality management and gain valuable business intelligence.A translation memory P2P trading platform - to make global translation memory...
A translation memory P2P trading platform - to make global translation memory...TAUS - The Language Data Network
A global P2P Trading Platform for TMs will be introduced. Tmxmall TM marketplace is the core, and client TM software and CATs are the input and output respectively. User of CATs is able to search the TMs of client users while it does not require client users to upload TMs to the cloud.Shiyibao — The Most Efficient Translation Feedback System Ever, Guanqing Hao ...
Shiyibao — The Most Efficient Translation Feedback System Ever, Guanqing Hao ...TAUS - The Language Data Network
The presentation will introduce the NLP technologies used in Shiyibao and the main product features, covering the following points:
Function of giving automatic grades for translations based on translation quality automatic evaluation algorithm;
Function of giving automatic comments based on rules matching;
Function of sorting translations according to their similarity or some specific fragments to dramatically improve the efficiency of reviewing and commenting on translations. Stepes – Instant Human Translation Services for the Digital World, Carl Yao (...
Stepes – Instant Human Translation Services for the Digital World, Carl Yao (...TAUS - The Language Data Network
In today’s digital economy, content is becoming smaller, more fragmented, and in need of on-demand translation in minutes and around the clock. Traditional localization models are no longer sufficient in meeting these always-on, agile, fast, and small translation requirements of the digital age. This is why mobile translation services like Stepes that are able to deliver quality, speed, and scalability are poised to see tremendous growth. During this 6-minute presentation, Stepes will demonstrate live its instant human translation service for micro content. Powered by human translators from around the world, Stepes is the world’s first mobile translation ecosystem delivering quality translation services using a networking model similar to Uber and Lyft.Farmer Lv (TrueTran)
This document discusses TruTran's open machine translation platform and the trends in machine translation engine development. It notes that neural network technology allows each company to have its own customized trained neural machine translation engine. The open source nature of neural networks means that machine translation will be "generalized" or available to more users. However, enterprises currently lack professionals skilled in natural language processing and training data can be difficult to process. TruTran's platform aims to address these issues by allowing users to easily upload custom training data and corpora, select a domain to train an engine, and have the engine trained within 6 days on the platform's resources. This gives each company their own commercial-grade machine translation engine at low cost and with their
Smart Translation Resource Management: Semantic Matching, Kirk Zhang (Wiitran...
Smart Translation Resource Management: Semantic Matching, Kirk Zhang (Wiitran...TAUS - The Language Data Network
Kirk Zhang, the COO of Wiitrans, presented on their semantic matching and translator resource management tools which aim to deliver high quality translations by matching content to appropriate translators based on their individual translator profiles and histories. The tools analyze translator-specific language assets, glossaries, and translation memories to best match work to translators and simplify the translation process. The Theory and Practice of Computer Aided Translation Training System, Liu Q...
The Theory and Practice of Computer Aided Translation Training System, Liu Q...TAUS - The Language Data Network
The document describes a computer-aided translation and interpretation training system called CATS. It provides course management, multi-lingual resource centers, and translation management platforms to support online translation and interpretation courses. CATS allows instructors to upload multimedia content and documents, create translation cases and assignments, and evaluate student work. It aims to improve over traditional methods of collecting assignments through email by offering an integrated online platform for pre-class, in-class, and post-class activities.Translation Technology Showcase in Shenzhen
The document announces a Translation Technology Showcase event hosted by TAUS on February 28, 2017 in Shenzhen. The event will feature presentations from various translation technology companies on topics like multichannel translation for the digital economy, using free and open source tools, leveraging large translation memories, and neural machine translation. The agenda lists out the scheduled presentations and their times. The document also mentions that TAUS recently published an updated Translation Technology Landscape Report covering trends in the industry and profiles of over 80 companies.
How to efficiently use large-scale TMs in translation, Jing Zhang (Tmxmall)
How to efficiently use large-scale TMs in translation, Jing Zhang (Tmxmall)TAUS - The Language Data Network
Most of LSPs have not converted the translated bilingual documents to TM till now. Even the LSPs have established TMs, they are also confronted with disordered management of TMs and low efficiency. This report will share the way of quick TM establishment with Tmxmall Cloud-Based Smart Aligner, the way of Management of large-scale TMs with Private Cloud-Based TM for achieving pre-translation with large-scale TMs and team cooperation and etc.. Besides, the report will introduce Tmxmall TM marketplace, which is expected to promote TM sharing. Finally, we will share the experience of LSPs on alignment and Private Cloud-Based TM management for reducing translation costs and increasing profits.SDL Trados Studio 2017, Jocelyn He (SDL)
SDL is the leader in global content management and language translation solutions. With more than 20 years of experience, SDL helps companies build relevant online experiences that deliver transformative business results on a global scale. Translation Industry continues to grow, and Freelancers, LSPs and Corporate clients all see increased demand as more and more content is created, so we have to address them all. As a Market-leading translation productivity tool, SDL Trados Studio is trusted by over 200,000 translation professionals to boost productivity, control quality and aid collaboration. SDL has launched Trados Studio 2017. This presentation will introduce SDL Trados Studio 2017 and highlight SDL’s new productivity booster- UPLIFT, which is well welcomed by global clients.
How we train post-editors - Yongpeng Wei (Lingosail)
This document discusses Lingosail's translation technology products and services, including machine translation, corpus construction, and translation services. It outlines how Lingosail's machine translation process editing (MTPE) solutions can provide easier entry into translation for clients, higher translation efficiency, and more scalable management of translation workflows. The document also describes Lingosail's patent post-editing training course for translators, which saw hundreds of participants last year, and resulted in trainees increasing their translation speed and quality after training.
A use-case for getting MT into your company, Kerstin Berns (berns language c...
A use-case for getting MT into your company, Kerstin Berns (berns language c...TAUS - The Language Data Network
This document discusses how to introduce machine translation (MT) into a company to improve localization processes. It outlines challenges with the current process of 30 localization loops involving 40 translators across different locations with no quality or cost control. Introducing MT for display text localization could speed up availability, lower costs by 25%, and reduce unnecessary translation loops by 50%. A short-term goal is to use MT for development phases with a final quality loop involving human translation and post-editing. Long-term preparation is needed to expand MT use while addressing risks, quality guidelines, and system environments.QE integrated in XTM, by Bob Willans (XTM)
This document discusses integrating XTM Cloud and TAUS DQF to enable higher quality translation projects. Key steps include creating accounts in both systems, configuring LQA parameters and issues in XTM, creating translation projects in XTM with LQA steps, performing translations and LQA reviews in XTM, and then viewing productivity and quality results in the TAUS DQF system. The integration is meant to provide benefits like higher productivity, improved quality, and better data to evaluate machine translation systems.
How Existing Quality Models Get Challenged, by Katka Gasova (Moravia)
How Existing Quality Models Get Challenged, by Katka Gasova (Moravia)TAUS - The Language Data Network
Quality standards in the industry have come a long way. They have evolved over the years, but their focus on quality definitions based on errors and metrics has remained the accepted wisdom. Expectations of end users are changing. Every piece of content has a job to do, and it is often to touch the heart of users rather than just the mind by delivering information that is accurate and whose quality is measurable. A new “quality evaluation paradigm” is emerging. This calls for a new profile for translators, one that is different from what has been typical for the past few decades. This presentation will look at this trend in more detail, considering how to test these new types of translators fast and effectively. What matters in this emerging quality model and what does it possibly mean for DQF?Traditional Models of Translation Outsourcing Seem Well-Established and Sound...
Traditional Models of Translation Outsourcing Seem Well-Established and Sound...TAUS - The Language Data Network
Traditional Models of Translation Outsourcing Seem Well-Established and Sound. Are there alternatives? by Marek Piorkowski (Text United)Smarter, Faster, Better: The secrets of productive Machine Translation, Tony ...
Smarter, Faster, Better: The secrets of productive Machine Translation, Tony ...TAUS - The Language Data Network
The document discusses KantanMT's machine translation platform and services, including its neural machine translation technology (KantanNeuralTM). It provides details on KantanNeuralTM developments, including initial automated test score comparisons between statistical and neural MT, as well as upcoming professional translator A/B testing and domain-adapted neural MT.QE Made Easy by Attila Görög (TAUS)
Quality evaluation is a costly task in the translation sector. It can take up more than 20% of the time spent on the actual translation production. Quality reporting is costly too. It is still a highly manual task, for most of us at least. And what’s worse, we find it hard to assure and deliver the quality that our customers and end-users need and want. In short, quality evaluation in the translation industry is failing.
More from TAUS - The Language Data Network (20)
TAUS Global Content Summit Amsterdam 2019 / Growing Business by Connecting Co...
TAUS Global Content Summit Amsterdam 2019 / Growing Business by Connecting Co...
Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (P...
Achieving Translation Efficiency and Accuracy for Video Content, Xiao Yuan (P...
Introduction Innovation Contest Shenzhen by Henri Broekmate (Lionbridge)
Introduction Innovation Contest Shenzhen by Henri Broekmate (Lionbridge)
Game Changer for Linguistic Review: Shifting the Paradigm, Klaus Fleischmann...
Game Changer for Linguistic Review: Shifting the Paradigm, Klaus Fleischmann...
A translation memory P2P trading platform - to make global translation memory...
A translation memory P2P trading platform - to make global translation memory...
Shiyibao — The Most Efficient Translation Feedback System Ever, Guanqing Hao ...
Shiyibao — The Most Efficient Translation Feedback System Ever, Guanqing Hao ...
Stepes – Instant Human Translation Services for the Digital World, Carl Yao (...
Stepes – Instant Human Translation Services for the Digital World, Carl Yao (...
Smart Translation Resource Management: Semantic Matching, Kirk Zhang (Wiitran...
Smart Translation Resource Management: Semantic Matching, Kirk Zhang (Wiitran...
The Theory and Practice of Computer Aided Translation Training System, Liu Q...
The Theory and Practice of Computer Aided Translation Training System, Liu Q...
How to efficiently use large-scale TMs in translation, Jing Zhang (Tmxmall)
How to efficiently use large-scale TMs in translation, Jing Zhang (Tmxmall)
How we train post-editors - Yongpeng Wei (Lingosail)
How we train post-editors - Yongpeng Wei (Lingosail)
A use-case for getting MT into your company, Kerstin Berns (berns language c...
A use-case for getting MT into your company, Kerstin Berns (berns language c...
How Existing Quality Models Get Challenged, by Katka Gasova (Moravia)
How Existing Quality Models Get Challenged, by Katka Gasova (Moravia)
Traditional Models of Translation Outsourcing Seem Well-Established and Sound...
Traditional Models of Translation Outsourcing Seem Well-Established and Sound...
Smarter, Faster, Better: The secrets of productive Machine Translation, Tony ...
Smarter, Faster, Better: The secrets of productive Machine Translation, Tony ...
Recently uploaded
Competition and Regulation in Professions and Occupations – ROBSON – June 202...
Competition and Regulation in Professions and Occupations – ROBSON – June 202...OECD Directorate for Financial and Enterprise Affairs
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussion
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussionOECD Directorate for Financial and Enterprise Affairs
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
Tom tresser burning issue.pptx My Burning issue
Addressing the status of black home ownership in America. and what actions are taken to impact these trends.
2024-05-30_meetup_devops_aix-marseille.pdf
Slides de notre meetup DevOps AixMarseille du 30 mai 2024 chez SmarTribune
Sujets: platform engineering / terragrunt / test containers
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
Competition and Regulation in Professions and Occupations – OECD – June 2024 ...
Competition and Regulation in Professions and Occupations – OECD – June 2024 ...OECD Directorate for Financial and Enterprise Affairs
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Mẫu PPT kế hoạch làm việc sáng tạo cho nửa cuối năm PowerPoint
Mẫu PPT kế hoạch làm việc sáng tạo cho nửa cuối năm PowerPoint
Artificial Intelligence, Data and Competition – ČORBA – June 2024 OECD discus...
Artificial Intelligence, Data and Competition – ČORBA – June 2024 OECD discus...OECD Directorate for Financial and Enterprise Affairs
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
ASONAM2023_presection_slide_track-recommendation.pdf
Presented at the 2023 IEEE/ACM International Conference on
Advances in Social Networks Analysis and Mining.
Presentatie 4. Jochen Cremer - TU Delft 28 mei 2024
Dutch Power Event
“AI – Navigeren naar de toekomst?”
Op 28 mei 2024 bij Info Support.
Pro-competitive Industrial Policy – OECD – June 2024 OECD discussion
Pro-competitive Industrial Policy – OECD – June 2024 OECD discussionOECD Directorate for Financial and Enterprise Affairs
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
Updated diagnosis. Cause and treatment of hypothyroidism
Types, classification, causes, diagnosis and treatment of hypothyroidism
Presentatie 8. Joost van der Linde & Daniel Anderton - Eliq 28 mei 2024
Dutch Power Event
“AI – Navigeren naar de toekomst?”
Op 28 mei 2024 bij Info Support.
XP 2024 presentation: A New Look to Leadership
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...OECD Directorate for Financial and Enterprise Affairs
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
Carrer goals.pptx and their importance in real life
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
Recently uploaded (20)
Competition and Regulation in Professions and Occupations – ROBSON – June 202...
Competition and Regulation in Professions and Occupations – ROBSON – June 202...
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussion
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussion
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...
Competition and Regulation in Professions and Occupations – OECD – June 2024 ...
Competition and Regulation in Professions and Occupations – OECD – June 2024 ...
Mẫu PPT kế hoạch làm việc sáng tạo cho nửa cuối năm PowerPoint
Mẫu PPT kế hoạch làm việc sáng tạo cho nửa cuối năm PowerPoint
Artificial Intelligence, Data and Competition – ČORBA – June 2024 OECD discus...
Artificial Intelligence, Data and Competition – ČORBA – June 2024 OECD discus...
ASONAM2023_presection_slide_track-recommendation.pdf
ASONAM2023_presection_slide_track-recommendation.pdf
Presentatie 4. Jochen Cremer - TU Delft 28 mei 2024
Presentatie 4. Jochen Cremer - TU Delft 28 mei 2024
Pro-competitive Industrial Policy – OECD – June 2024 OECD discussion
Pro-competitive Industrial Policy – OECD – June 2024 OECD discussion
Updated diagnosis. Cause and treatment of hypothyroidism
Updated diagnosis. Cause and treatment of hypothyroidism
Presentatie 8. Joost van der Linde & Daniel Anderton - Eliq 28 mei 2024
Presentatie 8. Joost van der Linde & Daniel Anderton - Eliq 28 mei 2024
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
Carrer goals.pptx and their importance in real life
Carrer goals.pptx and their importance in real life
Datafication of translation (Welocalize)
- 3. welocalize.com How can we apply NLP and machine learning to content? ANALYSING SOURCE CONTENTDo reading level, source grammar errors, or terminology density correlate with errors? DATAMINING QUERIES Can we detect relationships between content and queries? PREDICTING ERRORS Can we design models based on past errors to identify at-risk segments? SEGMENT LEVEL PREDICTIONS