MT Talks: Difference between revisions
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MT Talks and the expanded notes on this wiki will never be the ultimate resource for MT, but we would be very happy to serve as an ultimate commented ''directory'' of good pointers. | MT Talks and the expanded notes on this wiki will never be the ultimate resource for MT, but we would be very happy to serve as an ultimate commented ''directory'' of good pointers. | ||
By the way, this is indeed a Wiki, so your contributions are very welcome! | By the way, this is indeed a Wiki, so your contributions are very welcome! Please register and feel free to add comments, corrections or links to useful resources. | ||
== | == Our Talks == | ||
01 '''[[Intro]]''': Why is MT difficult, Approaches to MT. | 01 '''[[Intro]]''': Why is MT difficult, Approaches to MT. | ||
== Other Videolectures on MT == | |||
* [http://www.upc.edu/learning/courses/mooc/2014-2015/approaches-to-machine/approaches-to-machine Approaches to Machine Translation: Rule-Based, Statistical, Hybrid] (an online course on MT by UPC Barcelona) | |||
* [https://www.coursera.org/course/nlangp Natural Language Processing at Coursera] by Michael Collins, includes lectures on word-based and phrase-based models. [http://www.cs.columbia.edu/~mcollins/notes-spring2013.html Further notes] | |||
== Acknowledgement == | == Acknowledgement == | ||
The work on this project has been supported by the grant FP7-ICT-2011-7-288487 ([http://www.statmt.org/mosescore/ MosesCore]). | The work on this project has been supported by the grant FP7-ICT-2011-7-288487 ([http://www.statmt.org/mosescore/ MosesCore]). | ||
Revision as of 22:38, 16 December 2014
MT Talks is a series of mini-lectures on machine translation.
Our goal is to hit just the right level of detail and technicality to make the talks interesting and attractive to people who are not yet familiar with the field but mix in new observations and insights so that even old pals will have a reason to watch us.
MT Talks and the expanded notes on this wiki will never be the ultimate resource for MT, but we would be very happy to serve as an ultimate commented directory of good pointers.
By the way, this is indeed a Wiki, so your contributions are very welcome! Please register and feel free to add comments, corrections or links to useful resources.
Our Talks
01 Intro: Why is MT difficult, Approaches to MT.
Other Videolectures on MT
- Approaches to Machine Translation: Rule-Based, Statistical, Hybrid (an online course on MT by UPC Barcelona)
- Natural Language Processing at Coursera by Michael Collins, includes lectures on word-based and phrase-based models. Further notes
Acknowledgement
The work on this project has been supported by the grant FP7-ICT-2011-7-288487 (MosesCore).