Word Embeddings – Word2Vec optimized for IceBATS 22.04

  Authors

Friðriksdóttir, Steinunn Rut ; Daníelsson, Hjalti and Steingrímsson, Steinþór

  Item identifier

http://hdl.handle.net/20.500.12537/209

 Project URL

http://embeddings.arnastofnun.is/

 Date issued

2022-05-06

 Type

toolService

 Language(s)

Icelandic

 Description

 

Word Embeddings - Word2Vec optimized for IceBATS 22.04 contains two word embedding models, induced from the IGC (http://hdl.handle.net/20.500.12537/192). The word embedding models are optimized to obtain a high average score as measured by IceBATS. One model is trained on lemmatized data and the other on unlemmatized data.

 

Word Embeddings - Word2Vec optimized for IceBATS 22.04 inniheldur tvö orðvigralíkön, þjálfuð á RMH (http://hdl.handle.net/20.500.12537/192). Orðvigralíkönin eru þjálfuð með stillingum sem eiga að gefa há meðaltalsgildi þegar þau eru keyrð á IceBATS prófunarsafnið. Annað módelið er þjálfað með lemmuðum gögnum en hitt með ólemmuðum.

 

 Publisher

The Árni Magnússon Institute for Icelandic Studies

 Acknowledgement

Ministry of Education, Science and Culture

Project code: I2

Project name: Language Technology for Icelandic 2019-2023

 Subject(s)

word embeddings

 Collection(s)

Clarin IS

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