Evaluation of Croatian Word Embeddings

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43953784" target="_blank" >RIV/49777513:23520/19:43953784 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evaluation of Croatian Word Embeddings

Original language description

Croatian is poorly resourced and highly inflected language from Slavic language family. Nowadays, research is focusing mostly on English. We created a new word analogy dataset based on the original English Word2vec word analogy dataset and added some of the specific linguistic aspects from Croatian language. Next, we created Croatian WordSim353 and RG65 datasets for a basic evaluation of word similarities. We compared created datasets on two popular word representation models, based on Word2Vec tool and fastText tool. Models has been trained on 1.37B tokens training data corpus and tested on a new robust Croatian word analogy dataset. Results show that models are able to create meaningful word representation. This research has shown that free word order and the higher morphological complexity of Croatian language influences the quality of resulting word embeddings.

Czech name

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Czech description

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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)

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

ISBN

979-10-95546-00-9

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

1512-1518

Publisher name

European Language Resources Association (ELRA)

Place of publication

Francie

Event location

Miyazaki, Japan

Event date

May 7, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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