Another early-stage project is coming from Jörg Tiedemann at the University of Helsinki, who is working with colleagues to develop open translation models for the Grid. These models use deep neural networks—layered software architectures that implement complex mathematical functions—to map text into numeric representations. Using data sets to train the models to find the best ways to solve problems takes a lot of computing power and is expensive. Making the models available for re-use will help developers build tools for low-density languages. “Minority languages get too little attention because they are not commercially interesting,” Tiedemann says. “This gap needs to be closed.”
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
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.
The University of Helsinki Language Technology group has a number of papers at The 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19). Here’s where you can find us. See you in Turku!
Monday September 30:
- 13:15. Mathias Creutz, Eetu Sjöblom: “Toward automatic improvement of language produced by non-native language learners”
Constraint Grammar – Methods, Tools, and Applications workshop:
- 14:15. Anssi Yli-Jyrä: “Constraint Grammar Is a Hand-Crafted Transformer”
Tuesday 01 October:
Parallel session B: Morphology and Syntax.
- 13:45. Ilmari Kylliäinen and Miikka Silfverberg: “Ensembles of Neural Morphological Inflection Models”
- 16:45. Jeff Ens, Mika Hämäläinen, Jack Rueter and Philippe Pasquier: “Morphosyntactic Disambiguation in an Endangered Language Setting”
- 16:45. Mikko Aulamo and Jörg Tiedemann: “The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services”
Wednesday 02 October
Parallel session B: Speech.
- 14:50. Aarne Talman, Antti Suni, Hande Celikkanat, Sofoklis Kakouros, Jörg Tiedemann and Martti Vainio: “Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations”