Lost in Morphology - Enhancing Bilingual Lexicon Induction with Lemmatisation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00142848" target="_blank" >RIV/00216224:14330/25:00142848 - isvavai.cz</a>
Result on the web
<a href="https://raslan2025.nlp-consulting.net/" target="_blank" >https://raslan2025.nlp-consulting.net/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Lost in Morphology - Enhancing Bilingual Lexicon Induction with Lemmatisation
Original language description
Bilingual Lexicon Induction (BLI) is a fundamental task in cross-lingual word embedding (CWE) evaluation, aimed at retrieving word translations from monolingual corpora in two languages. However, morphological complexity poses an intractable challenge, where translations deemed incorrect tend to be morphological variations of the correct ones. This study explores the role of lemmatisation in mitigating this issue by comparing two integration strategies: (1) pre-alignment lemmatisation, applied before training monolingual word embeddings (MWEs), and (2) post-retrieval lemmatisation, applied to retrieved target words. We conduct experiments using three state-of-the-art CWEs across a wide range of language pairs, comparing Slavonic and other language families, with varying morphological complexity. Our findings reveal notable differences between the two approaches: post-retrieval lemmatisation proves more beneficial for less morphologically complex language pairs, while pre-alignment lemmatisation performs well for those with moderate complexity, and for highly inflected languages, the choice of approach has minimal impact.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Nineteenth Workshop on Recent Advances in Slavonic Natural Languages Processing
ISBN
9788026318583
ISSN
2336-4289
e-ISSN
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Number of pages
12
Pages from-to
3-14
Publisher name
Tribun EU
Place of publication
Brno
Event location
Kouty nad Desnou, Česká Republika
Event date
Jan 1, 2025
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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