Machine Translation: Myth or Reality?

In one and half hour, learn about the architectures of MT as well as the advantages and disadvantages of MT tools. After a brief history of how MT started and how it has been developed through the years, you will see by means of examples the differences between Rule-based, Example-based, and Statistical Machine Translation. Current commercial but also free/open-source MT tools will be presented along with information about the languages that they support, their usability, and the community behind them. Last but not least, some prominent evaluation metrics of MT will be shown. Many references will be given throughout the presentation for future reading.

Freelance translators or agencies that want to learn more about MT.

In this course you will learn what is MT really. You will get to learn many more tools than Google translate, but also the architectures behind them. You will see how easy or difficult it is to add a new language pair, how is MT in the market and also in research; when you can use it and when you should not.

No experience on MT needed.

- History
- Development
- Different architectures
- Tools, tools, tools
- Advantages and disadvantages
- Reasons to use it and when to avoid it

Price: 18.00X USD

Click on the buy button on the right to purchase your seat Participation fee includes unlimited access to the recording. How do I purchase the video? To purchase your seat at this session please click on the "buy" button. After your payment is received, your status will be changed to “registered and paid” and an invoice and receipt of payment will be sent to you for your records. How do I access the video? Once the payment is processed you will be able to watch the video here .

Dimitra Anastasiou    View feedback | View all courses

Bio: Dr. Dimitra Anastasiou has a university degree from the Department of "Foreign Languages, Translation and Interpreting" in Corfu, Greece and a PhD from the Saarland University, Germany on the topic of "Idiom Experiments in Machine Translation". She worked as a researcher at the Localisation Research Centre in Limerick, Ireland and also at the departments of Languages and Literary Studies and Computer Science at the University of Bremen, Germany. In the last years she has been teaching 'Machine Translation', 'Translation Technology', 'Localisation Tools and Technology', 'Methods of Computational Linguistics', and supervising BA, MA, and PhD students on these topics.