University of Helsinki Language Technology group successful at WMT18 machine translation tasks

Our research group successfully participated in this year’s WMT machine translation tasks, taking the shared first place in both the English-Finnish and Finnish-English news translation tasks.

Shared Task: Machine Translation of News

We also participated in the Multimodal Machine Translation task as part of the MeMaD project, taking the first place in English-German and in English-French translation.

Shared Task: Multimodal Machine Translation En-De

In both the news and multimodal translation tasks, the best systems from the Language Technology group utilised state-of-the-art neural machine translation models.

System papers describing the models will be presented at EMNLP 2018 Third Conference on Machine Translation (WMT18) later this year.

Shared Task: Multimodal Machine Translation En-Fr

Congratulations to our team!

Grant from KITES

KITES offers a grant for work in a research project on the collection of Finnish-Swedish parallel corpora and the development of machine translation models for the same language pair. See the announcement and all details here.

FoTran2018

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/

NLUxG project presentation at the Academy of Finland AIPSE seminar

The Academy of Finland funded research project Natural Language Understanding with Cross-Lingual Grounding was presented in the Academy of Finland opening seminar Novel Applications of Artificial Intelligence in Physical Sciences and Engineering Research (AIPSE) on 18 June by Dr. Alessandro Raganato and Dr. Hande Celikkanat.

Our presentation and the poster attracted a lot of interest from the seminar participants.

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.

Jörg Tiedemann presenting his paper “Emerging Language Spaces Learned From Massively Multilingual Corpora” at DHN 2018

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.