Evaluating the State-of-the-Art Sentence Alignment System on Literary Texts
| Autoři | |
|---|---|
| Rok publikování | 2021 |
| Druh | Článek ve sborníku |
| Konference | Recent Advances in Slavonic Natural Language Processing (RASLAN 2021) |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | |
| Klíčová slova | Parallel corpora; Automatic alignment; Literary text |
| Popis | Sentence alignment is a useful task with many applications in Natural Language Processing and Digital Humanities. This paper presents an evaluation of Vecalign, the state-of-the-art method for automatic sen- tence alignment, on two bilingual corpora built from literary texts. This preliminary study shows that Vecalign performs well for literary texts and gives insights on its remaining issues through a qualitative evaluation of the output alignments. |
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