2024
COLING
COLING 2024
Interaction of Semantics and Morphology in Russian Word Vectors
Abstract
AbstractIn this paper we explore how morphological information can be extracted from fastText embeddings for Russian nouns. We investigate the negative effects of syncretism and propose ways of modifying the vectors that can help to find better representations for morphological functions and thus for out of vocabulary words. In particular, we look at the effect of analysing shift vectors instead of original vectors, discuss various possibilities of finding base forms to create shift vectors, and show that using only the high frequency data is beneficial when looking for structure with respect to the morphosyntactic functions in the embeddings.
🌉
Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing