| DENISOVÁ, Michaela a Pavel RYCHLÝ. Bilingual Lexicon Induction From Comparable and Parallel Data: A Comparative Analysis. Online. In Nöth, E., Horák, A., Sojka, P. International Conference on Text, Speech, and Dialogue. Cham: Springer Nature Switzerland, 2024, s. 30-42, 12 s. ISBN 978-3-031-70563-2. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70563-2_3. |
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@inproceedings{2426237,
author = {Denisová, Michaela and Rychlý, Pavel},
address = {Cham},
booktitle = {International Conference on Text, Speech, and Dialogue},
doi = {http://dx.doi.org/10.1007/978-3-031-70563-2_3},
editor = {Nöth, E., Horák, A., Sojka, P.},
keywords = {bilingual lexicon induction; cross-lingual word embeddings; neural machine translation systems},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham},
isbn = {978-3-031-70563-2},
pages = {30-42},
publisher = {Springer Nature Switzerland},
title = {Bilingual Lexicon Induction From Comparable and Parallel Data: A Comparative Analysis},
url = {https://tsdconference.org/tsd2024/download/preprints/1195.pdf},
year = {2024}
}
TY - JOUR
ID - 2426237
AU - Denisová, Michaela - Rychlý, Pavel
PY - 2024
TI - Bilingual Lexicon Induction From Comparable and Parallel Data: A Comparative Analysis
PB - Springer Nature Switzerland
CY - Cham
SN - 9783031705632
KW - bilingual lexicon induction
KW - cross-lingual word embeddings
KW - neural machine translation systems
UR - https://tsdconference.org/tsd2024/download/preprints/1195.pdf
N2 - Bilingual lexicon induction (BLI) from comparable data has become a common way of evaluating cross-lingual word embeddings (CWEs). These models have drawn much attention, mainly due to their availability for rare and low-resource language pairs. An alternative offers systems exploiting parallel data, such as popular neural machine translation systems (NMTSs), which are effective and yield state-of-the-art results. Despite the significant advancements in NMTSs, their effectiveness in the BLI task compared to the models using comparable data remains underexplored. In this paper, we provide a comparative study of the NMTS and CWE models evaluated on the BLI task and demonstrate the results across three diverse language pairs: distant (Estonian-English) and close (Estonian-Finnish) language pair and language pair with different scripts (Estonian-Russian). Our study reveals the differences, strengths, and limitations of both approaches. We show that while NMTSs achieve impressive results for languages with a great amount of training data available, CWEs emerge as a better option when faced less resources.
ER -
DENISOVÁ, Michaela a Pavel RYCHLÝ. Bilingual Lexicon Induction From Comparable and Parallel Data: A Comparative Analysis. Online. In Nöth, E., Horák, A., Sojka, P. \textit{International Conference on Text, Speech, and Dialogue}. Cham: Springer Nature Switzerland, 2024, s.~30-42, 12 s. ISBN~978-3-031-70563-2. Dostupné z: https://dx.doi.org/10.1007/978-3-031-70563-2\_{}3.
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