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.
1 code implementation • WS 2018 • M{\=a}rcis Pinnis, Mat{\=\i}ss Rikters, Rihards Kri{\v{s}}lauks
For the WMT 2018 shared task, we submitted seven systems (both constrained and unconstrained) for English-Estonian and Estonian-English translation directions.
Ranked #1 on Machine Translation on WMT 2018 Estonian-English
1 code implementation • LREC 2018 • Mat{\=\i}ss Rikters, M{\=a}rcis Pinnis, Rihards Kri{\v{s}}lauks
no code implementations • WS 2016 • Mat{\=\i}ss Rikters
This paper presents the comparison of how using different neural network based language modeling tools for selecting the best candidate fragments affects the final output translation quality in a hybrid multi-system machine translation setup.
no code implementations • LREC 2016 • Mat{\=\i}ss Rikters, Inguna Skadi{\c{n}}a
This paper describes a hybrid machine translation system that explores a parser to acquire syntactic chunks of a source sentence, translates the chunks with multiple online machine translation (MT) system application program interfaces (APIs) and creates output by combining translated chunks to obtain the best possible translation.