This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit.
MosesCore is supported by the European Commission Grant Number 288487 under the 7th Framework Programme.
For the latest updates, follow us on Twitter - #MosesCore
This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit.
MosesCore is supported by the European Commission Grant Number 288487 under the 7th Framework Programme.
For the latest updates, follow us on Twitter - #MosesCore
Machine Translation is an emerging field of Computer Science. Researchers have been done to make Machine Translation systems for different language pairs using different practices including rule based machine translation and Statistical Machine Translation (SMT). The goal of the project is to design a Statistical Machine translator for software language localization using Moses decoder. The system is expected to automatically localize (translate) software contents from English into Tamil by using Statistical Machine Translation.
This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit.
MosesCore is supported by the European Commission Grant Number 288487 under the 7th Framework Programme.
For the latest updates, follow us on Twitter - #MosesCore
Enterprises can achieve a fast and more effective global web presence through multi-lingual content delivered with a cloud Web Content Management (WCM) platform.
This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit.
MosesCore is supported by the European Commission Grant Number 288487 under the 7th Framework Programme.
For the latest updates, follow us on Twitter - #MosesCore
Machine Translation is an emerging field of Computer Science. Researchers have been done to make Machine Translation systems for different language pairs using different practices including rule based machine translation and Statistical Machine Translation (SMT). The goal of the project is to design a Statistical Machine translator for software language localization using Moses decoder. The system is expected to automatically localize (translate) software contents from English into Tamil by using Statistical Machine Translation.
This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit.
MosesCore is supported by the European Commission Grant Number 288487 under the 7th Framework Programme.
For the latest updates, follow us on Twitter - #MosesCore
Enterprises can achieve a fast and more effective global web presence through multi-lingual content delivered with a cloud Web Content Management (WCM) platform.
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.
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 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.
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.
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.
For the language service industry, the biggest challenge is still, regardless if it’s for conventional language service mode or cloud-based service mode, translator resources. Using technology to help us map out the most suitable translators for each project is the key to ensure the high translation quality.
Computer Aided Translation Training System (CATS) provides a package solutions to the problems of translation translation. CATS combines artificial intelligence, data collection, and visualization of information technology, which makes the translation teaching, class management and monitoring on one single platform areality. Translation and interpretaton teaching resources on CATS are updated regularly into detailed categories, making the teaching materials easy to access. CATS supports translation and interpretation teaching and practices, company internships as well as scientific research.
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 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.
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.
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 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.
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.
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.
For the language service industry, the biggest challenge is still, regardless if it’s for conventional language service mode or cloud-based service mode, translator resources. Using technology to help us map out the most suitable translators for each project is the key to ensure the high translation quality.
Computer Aided Translation Training System (CATS) provides a package solutions to the problems of translation translation. CATS combines artificial intelligence, data collection, and visualization of information technology, which makes the translation teaching, class management and monitoring on one single platform areality. Translation and interpretaton teaching resources on CATS are updated regularly into detailed categories, making the teaching materials easy to access. CATS supports translation and interpretation teaching and practices, company internships as well as scientific research.
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 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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
TAUS MT SHOWCASE, Google Translator Toolkit, Patcharin Areewong, Google, 10 April 2013
1. TAUS
MACHINE
TRANSLATION
SHOWCASE
Google Translator Toolkit
14:20 – 14:40
Wednesday, 10 April 2013
Patcharin Areewong
Google
2. Google Confidential and Proprietary 2
Machine Translation
Patcharin Areewong
Language Specialist • Singapore
3. 3
Agenda
Google Confidential and Proprietary
• Introduction
• Google translate
• Google translator toolkit
• Demo
4. 4
Translation is the key to universal access
Google Confidential and Proprietary
“Organize the world's information and make it
universally accessible and useful.”
kiana
привет
hallo
hello こんにちは
你好
hola ﻡمﺭرﺡحﺏبﺍا
!लो
bonjour
jambo
napaykullayki
olá mhoroi
5. 5
A translator’s story…
Google Confidential and Proprietary
Translator
2,000 words per day
250 days per year
500,000 words per year
6. 6
The Google story…
Google Confidential and Proprietary
Google
1,000,000,000 new pages indexed
per year*
400 words per page
400,000,000,000 words per year
400B/0.5M=800,000
translators
and that’s for only
1 additional language!
* actually, it’s several billion pages but let’s round it down to 1 billion
7. 7
So much content! So little resource!
Google Confidential and Proprietary
Organize the world’s information and make it universally accessible and
useful.
8% of world population speaks Arabic. Only 1% of the web is in Arabic.
>50% of Google searches come from outside the United States.
Localized search in more than 55 countries, 35 languages.
Google UI available in 117 languages across 157 international domains.
>99% of what people write, say, or generate never leaves the language in
which it was created.
http://www.commonsenseadvisory.com/Resources/FactsandFigures/tabid/1213/Default.aspx
Madar research, 2007
9. 9
Machine translation is better than nothing
Google Confidential and Proprietary
• Handle overwhelming volume
• Provide Immediate turn-around
• No access to human translator
• Users are one click away from inaccessible
content
9
Google Confidential
10. 10
Drive demand for human translation
Google Confidential and Proprietary
Variable Value
Customer demand 1 vs. 10
Revenue per customer €10 vs. €100
MT experiment can measure customer demand, profitability.
If the content is proved valuable, it’s worth the human
translation price
If you talk to a man in a language he understands, that goes to his head.
If you talk to him in his language, that goes to his heart.
– Nelson Mandela
11. 11
Expand translation industry
Google Confidential and Proprietary
Human translation expensive for content with uncertain value
• If 10 readers, expensive to pay $10,000 for translation
• If 100,000 readers, $10,000 translation worth the price
Monitor adoption, feedback
• Human-translate inscrutable content: offensive, misleading
• Human-translate high-traffic content: worth the price
Bottom line:
- Quick experiments
- Low cost
12. 12
Google Confidential and Proprietary
Target users: amateurs and advanced translators
Languages: 100,000+ pairs
MT languages: 88 (includes variants)
UI languages: 36
File types: AdWords, HTML, TXT, PO, Android
App, Chrome Extension, RTF,
subtitles, Word, ODT
General features: WYSIWYG editor, sharing, chat, spell
check, publish to Google Docs
Advanced features: translation memory, glossary, Google
dictionary, label, concordance,
scoping, split/merge, repetition
13. 13
Google: open translation ecosystem
Google Confidential and Proprietary
How can you be big without being evil? We don’t trap
end users. So if you don’t like Google, if for whatever
reason we do a bad job for you, we make it easy for you
data to move to our competitor.
liberation! – Eric Schmidt
Google translation follows “data liberation” principle
• Support open standards, APIs
Data stored in Translator Toolkit is your data – not Google’s
• Cloud storage for access, scale
• Documents, glossaries, and TMs for your eyes only unless you share
• You control addition, deletion of your translations