Evaluation of Morphological Embeddings for English and Russian Languages
Computation and Language
2021-03-15 v1
Abstract
This paper evaluates morphology-based embeddings for English and Russian languages. Despite the interest and introduction of several morphology-based word embedding models in the past and acclaimed performance improvements on word similarity and language modeling tasks, in our experiments, we did not observe any stable preference over two of our baseline models - SkipGram and FastText. The performance exhibited by morphological embeddings is the average of the two baselines mentioned above.
Keywords
Cite
@article{arxiv.2103.06884,
title = {Evaluation of Morphological Embeddings for English and Russian Languages},
author = {Vitaly Romanov and Albina Khusainova},
journal= {arXiv preprint arXiv:2103.06884},
year = {2021}
}
Comments
Published in Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}. arXiv admin note: text overlap with arXiv:2103.06628