Our NLPL project was featured in NordForsk newsletter with a link to this article!
Language Technology group visible at DHN 2018
Helsinki Language Technology group had 5 papers in the recent Digital Humanities in the Nordic Countries (DHN 2018) Conference held on 7–9 March 2018 in Helsinki.
![](https://blogs.helsinki.fi/language-technology/files/2018/03/tiedemann-1024x768.jpg)
Distinguished Short Paper
- Jörg Tiedemann: Emerging Language Spaces Learned From Massively Multilingual Corpora [pdf]
Long Paper
- Emily Öhman, Kaisla Kajava: Sentimentator: Gamifying Fine-grained Sentiment Annotation [pdf]
Posters
- Yves Scherrer, Tanja Samardžić: ArchiMob: A multidialectal corpus of Swiss German oral history interviews [pdf]
- Seppo Nyrkkö: An approach to unsupervised ontology term tagging of dependency-parsed text using a Self-Organizing Map (SOM) [pdf]
- Mika Hämäläinen, Tanja Säily, Eetu Mäkelä: Normalizing Early English Letters for Neologism Retrieval [pdf]
We’re hiring!
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.
MeMAD Kick-off
Language technology participates in the EU Horizon 2020 project MeMAD. The project runs 2018-2020 and we had our official kick-off seminar this week on Tuesday, January 16.
More news about the Peace Machine
Timo Honkela’s concept of the peace machine got some more publicity:
1 PhD and 2 PostDoc positions available
The following positions are available in our research group:
- 1 PhD on multimodal neural machine translation as part of the MeMAD project
- 2 PostDocs in a project on natural language understanding with cross-lingual grounding
The application deadline is November 19, 2017. More information about the positions can be found at the job announcements linked above. We look for talented people to join our team and these exciting projects. Contact Jörg Tiedemann for further details and possible questions.
Best MT system for Finnish at WMT
Our submissions to the annual shared task in machine translation (WMT) scored best for English-Finnish. Our system is based on Helsinki NMT – an implementation of neural machine translation with attention. Congratulations to our team!
The Peace Machine on Al Jazeera
More publicity for Timo Honkela’s project, now at Al Jazeera:
See also the interview on Finnish TV tonight (June 1, 2017)
Open positions for postdoctoral researchers in Digital Humanities
The Faculty of Arts, University of Helsinki, invites applications for three (3) postdoctoral researchers in Digital Humanities. We are looking for candidates with expertise on computational science, linguistics and history/cultural heritage. The successful candidates will become part of a multidisciplinary research group with the main aim in applying a big data approach to large historical metadata and full-text collections. The group is particularly interested in studying conceptual change, intertextuality based on text-reuse and statistical analysis of knowledge production.
Interested candidates are requested to acquaint themselves with the position description:
https://www.helsinki.fi/en/open-positions/three-3-postdoctoral-researchers-digital-humanities Application period ends July 9, 2017.
Games for Language Learning
One of our students in language technology (Anna-Riikka Smolander) is involved in the development of a game that helps children to learn foreign languages. HBL covered the project with a full page on May 18. See the picture to the left …
More about the “say it again, kid” project in the news:
- verkkouutiset.fi
- turun sanomat
- yle.fi (starting at 14 min)