There were two presentations from our group at HELDIG Summit, one about FoTran and one about the new Special Interest Group on Language, Speech and Cognition under the umbrella of FCAI.
The Finnish Center of Artificial Intelligence (FCAI) established a special interest group (SIG) in language, speech and cognition. Language technology and our group is one of the driving forces behind this SIG. The SIG will be introduced at the AI Day on November 26 in Ottaniemi.
Tommi Jouhiainen is defending his PhD thesis in language technology on “Language Identification in Texts” on Tuesday, May, 28 at 12 in auditorio XII in the main building of the university. The thesis is available at http://urn.fi/URN:ISBN:978-951-51-5131-5 and the opponent is Nikola Ljubešić from the Jožef Stefan Institute in Ljubljana and the University of Zagreb.
We organise an event on representation learning from multilingual language data (FoTran2018). We have great invited speakers:
- Kyunghyun Cho, NYU, New York
- Manaal Faruqui, Google
- André Martins, Unbabel, Lisbon
- Ivan Vulić, University of Cambridge
- Željko Agić, IT University of Copenhagen
Sign up if you want to participate or even present your work! Participation is free but registration is required. More info here: https://blogs.helsinki.fi/language-technology/fotran-2018/
Our NLPL project was featured in NordForsk newsletter with a link to this article!
There are several projects that will start during spring 2018. One of them is the ERC-funded project Found in Translation (FoTran). We are currently looking for motivated people with a background in computational linguistics or computer science to join our team. Please, get in touch with us (via e-mail to jorg.tiedemann at helsinki.fi) if you are interested in doing your post-doctoral research or a PhD within the scope of the project!
We are also looking for a university lecturer in language technology. More information about this positions is available from the university’s job opportunity page.
A new project will start in our research group with the title “Found in Translation: Natural Language Understanding with Cross-Lingual Grounding“ funded by the ERC. It will focus on representation learning from multilingual data. More information will come soon! Here is an illustration to motivate the idea behind the project: