Grammatical gender in Swedish is predictable using recurrent neural networks
Not on the map. Why?
Abstract (arXiv)
The grammatical gender of Swedish nouns is a mystery. While there are few rules that can indicate the gender with some certainty, it does in general not depend on either meaning or the structure of the word. In this paper we demonstrate the surprising fact that grammatical gender for Swedish nouns can be predicted with high accuracy using a recurrent neural network (RNN) working on the raw character sequence of the word, without using any contextual information.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 19 references that are in the map. First posted on arXiv 19 Jun 2023.
Builds on
2 of 19 references.
References · 2
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
Built on by
Not cited yet.