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Martin Popel

4 accepted papers

2024

Charles Translator: A Machine Translation System between Ukrainian and Czech

COLING 2024main

We present Charles Translator, a machine translation system between Ukrainian and Czech, developed as part of a society-wide effort to mitigate the impact of the Russian-Ukrainian war on individuals and society. The system was developed in the spring of 2022 with the help of many language data provi…

Cited by 0SourcePDFScholar
2024

Universal Anaphora: The First Three Years

COLING 2024main

The aim of the Universal Anaphora initiative is to push forward the state of the art in anaphora and anaphora resolution by expanding the aspects of anaphoric interpretation which are or can be reliably annotated in anaphoric corpora, producing unified standards to annotate and encode these annotati…

2021

Do UD Trees Match Mention Spans in Coreference Annotations?

EMNLP 2021finding

One can find dozens of data resources for various languages in which coreference - a relation between two or more expressions that refer to the same real-world entity - is manually annotated. One could also assume that such expressions usually constitute syntactically meaningful units; however, ment…

Cited by 6SourcePDFScholar
2021

Neural Machine Translation Quality and Post-Editing Performance

EMNLP 2021main

We test the natural expectation that using MT in professional translation saves human processing time. The last such study was carried out by Sanchez-Torron and Koehn (2016) with phrase-based MT, artificially reducing the translation quality. In contrast, we focus on neural MT (NMT) of high quality,…