# Evaluation of Morphological Embeddings for English and Russian Languages

arXiv: https://arxiv.org/abs/2103.06884 · HTML: https://mlsanity.com/paper/2103.06884/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 11 of its 21 references that are in the map.
- First posted on arXiv 11 Mar 2021.

## Builds on (most cited first, 11 of 11)

- [Efficient Estimation of Word Representations in Vector Space](https://mlsanity.com/paper/1301.3781/) (2013)
- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation](https://mlsanity.com/paper/1408.3456/) (2014)
- [A Survey of Word Embeddings Evaluation Methods](https://mlsanity.com/paper/1801.09536/) (2018)
- [Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations](https://mlsanity.com/paper/1808.09500/) (2018)
- [A Joint Model for Word Embedding and Word Morphology](https://mlsanity.com/paper/1606.02601/) (2016)
- [Compositional Morphology for Word Representations and Language Modelling](https://mlsanity.com/paper/1405.4273/) (2014)
- [Morphological Word Embeddings](https://mlsanity.com/paper/1907.02423/) (2019)
- [Morphological Priors for Probabilistic Neural Word Embeddings](https://mlsanity.com/paper/1608.01056/) (2016)
- [The Interplay of Semantics and Morphology in Word Embeddings](https://mlsanity.com/paper/1704.01938/) (2017)
- [Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling](https://mlsanity.com/paper/1508.00106/) (2015)

## Abstract (arXiv)

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.