Are you an ambitious researcher looking for an interesting postdoc, research fellow or PhD position?
The Finnish Center for Artificial Intelligence FCAI offers a possibility for 22 new researchers to join a unique research community with an attractive joint mission. Especially interesting for NLP researchers: Topic 11: Interactive AI using multimodal communication
FCAI welcomes applicants with diverse backgrounds, and qualified female candidates are explicitly encouraged to apply. The deadline for applications is October 5, 2020 (midnight UTC+02:00). Read more and apply here: https://fcai.fi/we-are-hiring
The integration of our machine translation models in huggingface created big attention world-wide. Now FCAI is also sharing a news item about our developments and the contributions to open science and accessible NLP for many languages. Here is the news item: https://fcai.fi/news/2020/6/15/huge-contribution-to-democratizing-natural-language-processing-1
There is a news article at CSC that features our research in FoTran and on multilingual machine translation: https://www.csc.fi/en/-/seeking-to-understand-language-by-learning-from-translations. Check it out …
Our NMT models from OPUS-MT are in the news as they are now ported and integra
ted in the popular huggingface transformer library. Here is also a colab notebook for playing around with a the English-to-Romance-languages model.
Over 1,000 pre-trained models are now available from the library! Here some more information about the use of bilingual models and multilingual models.
Alessandro presents FoTran during the Poster session of the AI Day 2019 organised by FCAI. And a presentation about the FCAI special interest group for language speech and cognition was also part of the programme. Here is a another summary of the event.
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.
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.
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!
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.
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/