Applying Word Embeddings for Lithuanian Morphology: The Case of Adjectival Participles

This paper presents how word embeddings were used to identify adjectival Lithuanian participles.Although traditionally considered to be a form of a verb, participles in the Lithuanian language also have the characteristics of adjectives.The paper describes a study on how one of the criteria for the identification of adjectival participles was applied using the fastText word embedding model.This criterion involves the recognition of adjectives and pronouns that are semantically similar to participles (e.g., these adjectives and pronouns can be synonyms or antonyms of participles).The paper assesses the extent to which word embeddings can help to identify adjectival Lithuanian participles and summarises the advantages and disadvantages of this method.Out of 289 analysed participles, 48 participles (16.61%) that are semantically similar to adjectives and pronouns were identified using word embeddings.

Authors

Publication Details

Journal
Baltic Journal of Modern Computing
Published
2025-01-01
DOI
https://doi.org/10.22364/bjmc.2025.13.1.13
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applying Word Embeddings for Lithuanian Morphology: The Case of Adjectival Participles

Laima Jancaitė-Skarbalė
Baltic Journal of Modern Computing
Natural Language Processing Techniques
article

Applying Word Embeddings for Lithuanian Morphology: The Case of Adjectival Participles

Laima Jancaitė-Skarbalė
article en

Abstract

This paper presents how word embeddings were used to identify adjectival Lithuanian participles.Although traditionally considered to be a form of a verb, participles in the Lithuanian language also have the characteristics of adjectives.The paper describes a study on how one of the criteria for the identification of adjectival participles was applied using the fastText word embedding model.This criterion involves the recognition of adjectives and pronouns that are semantically similar to participles (e.g., these adjectives and pronouns can be synonyms or antonyms of participles).The paper assesses the extent to which word embeddings can help to identify adjectival Lithuanian participles and summarises the advantages and disadvantages of this method.Out of 289 analysed participles, 48 participles (16.61%) that are semantically similar to adjectives and pronouns were identified using word embeddings.

Baltic Journal of Modern ComputingVol. 13(1)
University of Galway, Atomic Energy of Canada Limited, Leibniz-Gemeinschaft
Quality Education
Openalex Percentile: Top 97%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.