28 citations · 43 across the 7 of their papers we have counts for
9 papers · 1 filter
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…
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases
Andis Lagzdiņš, Uldis Siliņš, Mārcis Pinnis +3
Consolidated access to current and reliable terms from different subject fields and languages is necessary for content creators and translators. Terminology is also needed in AI ap…
Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs
Gabriel Amaral, Mārcis Pinnis, Inguna Skadiņa +2
Knowledge bases such as Wikidata amass vast amounts of named entity information, such as multilingual labels, which can be extremely useful for various multilingual and cross-lingu…
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…
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…
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…
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…
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…
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation
Toms Bergmanis, Artūrs Stafanovičs, Mārcis Pinnis
Neural machine translation systems typically are trained on curated corpora and break when faced with non-standard orthography or punctuation. Resilience to spelling mistakes and t…