# Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish

arXiv: https://arxiv.org/abs/2304.09616 · HTML: https://mlsanity.com/paper/2304.09616/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 25 of its 150 references that are in the map.
- First posted on arXiv 19 Apr 2023.

## Builds on (most cited first, 25 of 25)

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- [Does Corpus Quality Really Matter for Low-Resource Languages?](https://mlsanity.com/paper/2203.08111/) (2022)
- [Ultradense Word Embeddings by Orthogonal Transformation](https://mlsanity.com/paper/1602.07572/) (2016)
- [Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity](https://mlsanity.com/paper/1711.09285/) (2017)
- [A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings](https://mlsanity.com/paper/2001.06381/) (2020)
- [Bilingual Embeddings with Random Walks over Multilingual Wordnets](https://mlsanity.com/paper/1804.08316/) (2018)

## Abstract (arXiv)

We present a computationally-grounded word similarity dataset based on two well-known Natural Language Processing resources; text corpora and knowledge bases. This dataset aims to fulfil a gap in psycholinguistic research by providing a variety of quantifications of semantic similarity in an extensive set of noun pairs controlled by variables that play a significant role in lexical processing. The dataset creation has consisted in three steps, 1) computing four key psycholinguistic features for each noun; concreteness, frequency, semantic and phonological neighbourhood density; 2) pairing nouns across these four variables; 3) for each noun pair, assigning three types of word similarity measurements, computed out of text, Wordnet and hybrid embeddings. The present dataset includes noun pairs' information in Basque and European Spanish, but further work intends to extend it to more languages.