# Morphological Inflection Generation with Hard Monotonic Attention

arXiv: https://arxiv.org/abs/1611.01487 · HTML: https://mlsanity.com/paper/1611.01487/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Nov 2016.

## Built on by (most cited first, 1 of 1)

- [Neural Unsupervised Reconstruction of Protolanguage Word Forms](https://mlsanity.com/paper/2211.08684/) (2022)

## Abstract (arXiv)

We present a neural model for morphological inflection generation which employs a hard attention mechanism, inspired by the nearly-monotonic alignment commonly found between the characters in a word and the characters in its inflection. We evaluate the model on three previously studied morphological inflection generation datasets and show that it provides state of the art results in various setups compared to previous neural and non-neural approaches. Finally we present an analysis of the continuous representations learned by both the hard and soft attention citebahdanauCB14 models for the task, shedding some light on the features such models extract.