activity
20202022
most citedDynamic Terminology Integration for COVID-19 and other Emerging Domains

2 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL20222 cited

From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees

Toms Bergmanis, Mārcis Pinnis

In this paper, we examine the development and usage of six low-resource machine translation systems translating between the Ukrainian language and each of the official languages of…

cs.CL20212 cited

Dynamic Terminology Integration for COVID-19 and other Emerging Domains

Toms Bergmanis, Mārcis Pinnis

The majority of language domains require prudent use of terminology to ensure clarity and adequacy of information conveyed. While the correct use of terminology for some languages…

cs.CL2021

Facilitating Terminology Translation with Target Lemma Annotations

Toms Bergmanis, Mārcis Pinnis

Most of the recent work on terminology integration in machine translation has assumed that terminology translations are given already inflected in forms that are suitable for the t…

cs.CL2020

Tilde at WMT 2020: News Task Systems

Rihards Krišlauks, Mārcis Pinnis

This paper describes Tilde's submission to the WMT2020 shared task on news translation for both directions of the English-Polish language pair in both the constrained and the uncon…

cs.CL2020

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

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. We, at first, pre-trainlanguage representation m…

cs.CL2020

Mitigating Gender Bias in Machine Translation with Target Gender Annotations

Artūrs Stafanovičs, Toms Bergmanis, Mārcis Pinnis

When translating "The secretary asked for details." to a language with grammatical gender, it might be necessary to determine the gender of the subject "secretary". If the sentence…