Workshop on Multilingual Data Value Chains in the Digital Single Market, 16 January 2015
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This presentation is a part of MosesCore project supported by the European Commission Grant Number 288487 under the 7th Framework Programme.
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TAUS Roundtable Moscow, Planning for an Uncertain Future, Jaap van der Meer, ...
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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
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.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?More from TAUS - The Language Data Network (20)
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...
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)
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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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Workshop on Multilingual Data Value Chains in the Digital Single Market, 16 January 2015
- 1. Industrial adoption of the Moses MT toolkit Workshop on multilingual data value chains in the Digital Single Market January 16, Brussels
- 2. TAUS is a Think Tank for the Translation Industry So what do we think? Ø We need to celebrate multilinguality Ø Machine translation is a force multiplier Ø Translation industry has been very slow in adopting technology, but … Ø … is now rapidly becoming a high-tech industry
- 3. MT is the New Lingua Franca Linguis3c diversity is the new reality Nicholas Ostler Lane Greene
- 4. Crossing the Chasm From Wild West stories and anecdotes to common sense and real benefits!
- 5. 21st Century Convergence Luxury Publisher-‐driven transla3on industry From 10,000 customers who buy transla3on as a ‘luxury’ product to 6 billion users who consider transla3on ‘free’. Mobile Real-‐8me Personalized Datafied Embedded New payment models Good enough Con8nuous + 1,000 languages Transla3on ShiMs Gears Innova3on Invaders
- 6. ü Market size: $250 Million, growing 16.9% per year ü Reconvergence of TM & MT ü Post-‐edi8ng takes over as the primary transla8on produc8on process ü Technology becomes a commodity ü Holy grail shiVs to Data ü MT is a ‘force mul8plier’ bringing huge opportuni8es to both enterprises and language service providers. “Perfect Storm Conditions for MT”
- 7. This slide may not be used or copied without permission from TAUS Model 1 Model 2 Model 3 Model 4 Moses out-of- the-box Moses with open source/free add-ons Commercialized Moses Hybrid MT Download and build Moses yourself Pre-built installation to make getting started easier Web-hosted or self-hosted with UI Moses combined with other MT technologies Moses Business Adoption Models +M4Loc
- 8. This slide may not be used or copied without permission from TAUS Moses MT Market Report Impact much larger than size Ø Moses-based solutions: $60 Million or ≈ 25% Ø Moses contributed to downward pressure on prices in the MT market Ø Moses allowed for a wide range of MT solutions to become available in the market § With different features § With different pricing models § For low resource languages (e.g. Lithuanian – Tilde) Ø Hundreds of ‘anonymous’ users
- 9. This slide may not be used or copied without permission from TAUS