Machine Translation Master Class
Managing the Dynamics of NMT Implementation
January 24 – February 14, 2022
Presented In: English
The Machine Translation Master Class provides an independent perspective on MT implementation and its impact on other aspects of existing localization processes for both vendors and clients. It focuses on the continuous adaptation to the change that MT implementation brings about.
The Localization Institute is pleased to offer an instructor-led online master class on Machine Translation with Dr. Wang. In four 2-hour sessions, she shares her independent perspective on MT with both vendors and clients.
Students from these major brands have taken the class: Anthem, Apple, Avast, Cisco, Expedia, Harvard Business Publishing, Hewlett-Packard, Hubspot, IMF, National Instruments, Philips, Pinterest, Rockwell Automation, Sony Interactive, UBS and many more.
This Master Class is for:
- Project Managers tasked with implementing an MT solution
- Vendors who want to leverage MT to meet their clients’ needs
- Buyers who want to implement MT
- Decision-makers who have to understand MT but don’t want to become technical experts
- IT professionals involved in MT implementation
- Content Managers responsible for global content
Curriculum
Weekly Modules
Each session will run from 6:00pm – 8:00pm CEST / 11:00am – 1:00pm CT.
Session 1 – Orientation and Introduction: A Holistic Approach to MT
from CAT to MT – the evolution of language technology
Monday, January 24
Session 2 – Deconstructing the Skills: The Dynamics of NMT implementation
a look under the hood at the most relevant parts
Monday, January 31
Session 3 – Imagining The Opposite: Anticipate and Identify The Potential Risks
automatic quality evaluation, estimation and editing strategies
Monday, February 7
Session 4 – Integrating AI into the Localization Ecosystem: Managing The Risks
mind and machine, the key to AI integration
Monday, February 14
Each session consists of one 45 minute class, a 10 minute break, and then another 45 minutes of class followed by 20 minutes of Q&A. All sessions begin promptly at 11:00am CT and will conclude at 1:00pm CT.
To allow for a high level of interactivity, the class is limited to 20 attendees. To protect privacy and confidentiality, sessions will not be recorded.
This course will provide you with:
- An understanding of the most relevant cutting-edge translation technologies related to MT implementation
- Knowledge of multiple MT paradigms
- A perception of what innovations MT could bring to a CAT tool environment
- An understanding of humans’ role in MT quality evaluation, estimation and overall quality control
- An understanding of how to coordinate between MT and its supporting techniques
All students who complete the Machine Translation Master Class will receive an Industry Certificate of Completion from The Localization Institute, Inc.
Testimonials
Dr. Wang is an expert in the translation world, she has the academic know-how and real-world experience to be an authority in this field. She continues to advise us with regards to AI and machine learning. A true treasure of knowledge.
In more than one way, Dr. Wang is an ideal instructor: She has many years of industry experience, supplemented with high-level academic scholarship, paired with a natural talent for teaching. I recommend her without reservation.
Dr. Wang is deeply knowledgeable in intercultural communication and localization technologies. She consistently explores the newest technologies to see how they can be applied to real world applications. As new technologies become widely adopted, the next generation of linguists will need to identify risks, challenges and opportunities. This course explores the inclusive approach to technology, establishing a connection between human cognition and AI powered language capabilities. She teaches with clarity, encouraging questions, considering different perspectives to further understanding.
I’ve known Dr. Wang since her days at MIIS, and I consider her to be one of the key thought leaders in the localization industry. Having worked in both academia and industry, she is able to recognize key insights and trends spanning both worlds, with a practical understanding of how to apply academic concepts to industry. As an avid academic and researcher, she continues to push the envelope in pioneering ways that further advance the localization industry.
I met Dr. Wang at various ATA conferences and I found her incredibly knowledgeable about all there is to know around translation and technology. She is incredibly interested …and interesting… when it comes to Machine Translation and its role in translation. Through her experience, she is fully aware of the human element and the interaction with technology and I can’t think of anyone better positioned to teach this course. I found Dr. Wang warm and engaging and I am sure her class will be useful, engaging and insightful.
Dr. Peng Wang is a globally acknowledged expert in computer translation technology and automated translation management systems with many years of experience in this field. She has a long and distinguished academic career, having lectured at the South China University of Technology, the Monterey Institute of International Studies and the University of Maryland. She is very enthusiastic and passionate about translation technology and is able to enthuse her students regarding this all-important topic, as well as being able to reach out to the localization industry in general…
… Computer-assisted technology is a very dynamic and constantly expanding topic with new developments appearing on a rolling basis. Dr. Wang has the talent and initiative to keep up to date with the latest developments and is an acknowledged authority in this fast-moving and dynamic field. She is able to impart this knowledge to her students in a clear and understandable way.
I found this master class extremely valuable. Dr. Wang’s knowledge, expertise and ability to explain difficult concepts was key to my understanding. The structure of the class and information covered was outstanding. I feel very fortunate to have participated in this class and feel that it’s a very valuable course and everyone in the localization industry should consider taking it. I am in the process of implementing MT at my company and this class has been very valuable and my best learning accomplishment for this year. I am confident that everything I have learned will be key to my success and our translation team.
… I have had Dr. Wang as my instructor in the past and her knowledge, expertise and ability to explain difficult concepts is truly outstanding. She has been the best instructor I have had throughout the years and her technology expertise always surpasses my expectations. Thanks to her courses I have not only been able to continue to implement new technologies as a PM of a translation team but also, share my knowledge with my team which has been key to their success and the services we provide to our clients. Her teaching skills and curriculum of the class were perfect and as I mentioned, surpassed my expectations.
Course Fee
$699
About Your Trainer
Dr. Peng Wang has taught, researched and practiced translation and localization on three continents. She is the convener for EDUinLOC, the chair of the automation/AI track for LocWorld conferences and a part-time professor at the University of Ottawa. Previously, she was the CAT Tools Coordinator at the University of Maryland.
Dr. Wang has rich research experience on NLP AI, having worked as a linguistic researcher at the Corpus Research Lab at Northern Arizona University, a domain expert for data mining projects at the University of Maryland and an honorary research fellow on automatic discourse analysis tools at the University of Liverpool. Her current research and practice focus on human learning vs. machine learning, machine translation, terminology and multilingual corpus analysis.
Dr. Wang is an expert in approaching technology in the context of culture and humanities. She embraces linguistic and cultural diversity in her classrooms, with students aged from 18 to over 70, in over 10 language combinations, coming from UAE, China, Italy, Spain, Germany, Morocco, Colombia, Mexico, and Haiti, to name just a few.
Terms and Conditions
Cancellation Policy:
Course Introduction
Preview Webinar
Interview with Dr. Peng Wang
Comparison Chart
Some might wonder how the Machine Translation Master Class is different from another class I am offering in March 2022: Ready-Set-Go THINK NLP. If so, please check out the following table to compare their features:
| Machine Translation Master Class | Think NLP RSG class | |
| In common | Both classes are on technology, but prioritize humans. They approach translation and localization from the perspective of a linguist, a project manager and other domain expert, as opposed to a technical expert such as a computer programmer, both of whom are main drivers leveraging AI to magnify and scale human knowledge of translation. | |
| Differences | ● It focuses on machine translation as well as other tasks associated with MT implementation.
● It includes both the conventional CAT tool environment and innovations MT can bring about. ● It emphasizes humans’ role in MT quality evaluation, estimation and overall quality control. |
● It does not prioritize any particular application, but tells the story of neural network language models.
● It includes multiple NLP tasks that have been or can be applied in a localization process. ● It depicts the role of localizers in data collection, annotation, management and application. |
| Key Takeaways | ● Knowledge of multiple MT paradigms
● A perception of what innovations MT could bring to a CAT tool environment ● An understanding of humans’ role in MT quality evaluation, estimation and overall quality control ● An understanding of how to coordinate between MT and its supporting techniques |
● Fundamental NLP AI knowledge and methodologies
● An understanding of how to get insights from data and metadata as well as a localizer’s role in this process ● A NLP mindset to help you think proactively to leverage NLP AI in your business ● A perception of how to effectively motivate and manage your man power in an AI driven localization process |