Stephane Domisse (John Deere) at the Industry Leaders Forum 2015
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4. The many uses of machine translation technology Let Google and Microsoft run with it or invest in your own translation technology. Why build your own machine translation system if Google and Microsoft offer such a great machine translation service. Machine translation technology is a force multiplier and a catalyst for innovation. Learn more about how effective use of MT opens many new services and markets. Panelists: Stéphane Domisse (John Deere), Olga Beregovaya (Welocalize), Diego Bartolome (tauyou), Dragos Munteanu (SDL), Tony O’Dowd (KantanMT), Sanna Piha (Moravia), Irene O'Riordan (Microsoft)
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Marketo-Summit-2015-Strategize-Then-Localize-Executing-a-Successful-Enterpris...
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Single-Pass inkjet technology poised to transform the printing industry brought to you by Memjet Technology.
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2012 GALA Webinar: Machine Translation for LSPs. A practical guide
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TAUS Post-editing webinar. Spanish-to-English Module
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Delivering solutions - focusing on TMS adoption rate and change management, F...
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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
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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.
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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 Global Content Summit Amsterdam 2019 / Measure with DQF, Dace Dzeguze (T...
TAUS Global Content Summit Amsterdam 2019 / Measure with DQF, Dace Dzeguze (T...
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 Global Content Summit Amsterdam 2019 / The Quantum Leap: Human Parity, C...
TAUS Global Content Summit Amsterdam 2019 / The Quantum Leap: Human Parity, C...
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...
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
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