What Can We Really Learn from Post-editing?

no code implementations • AMTA 2016 • Marcis Pinnis, Rihards Kalnins, Raivis Skadins, Inguna Skadina

MTee: Open Machine Translation Platform for Estonian Government

no code implementations • EAMT 2022 • Toms Bergmanis, Marcis Pinnis, Roberts Rozis, Jānis Šlapiņš, Valters Šics, Berta Bernāne, Guntars Pužulis, Endijs Titomers, Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Annika Laumets-Tättar, Mark Fishel

We present the MTee project - a research initiative funded via an Estonian public procurement to develop machine translation technology that is open-source and free of charge.

Document Translation Grammatical Error Correction +2

Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets

1 code implementation • 23 Oct 2020 • Gaurish Thakkar, Marcis Pinnis

In this paper, we present various pre-training strategies that aid in im-proving the accuracy of the sentiment classification task.

Sentiment Analysis Sentiment Classification

Tilde's Machine Translation Systems for WMT 2019

no code implementations • WS 2019 • Marcis Pinnis, Rihards Kri{\v{s}}lauks, Mat{\=\i}ss Rikters

The paper describes the development process of Tilde{'}s NMT systems for the WMT 2019 shared task on news translation.

Machine Translation NMT +1

Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services

no code implementations • WS 2019 • Georg Rehm, Juli{\'a}n Moreno-Schneider, Jorge Gracia, Artem Revenko, Victor Mireles, Maria Khvalchik, Ilan Kernerman, Andis Lagzdins, Marcis Pinnis, Artus Vasilevskis, Elena Leitner, Jan Milde, Pia Wei{\ss}enhorn

We present a portfolio of natural legal language processing and document curation services currently under development in a collaborative European project.