mlsanityData to 14 Oct 2026

Morphological Inflection Generation Using Character Sequence to Sequence Learning

arXiv 1512.06110 ↗First posted 18 Dec 2015cs.CLcited by 14

Not on the map. Why?

Abstract (arXiv)

Morphological inflection generation is the task of generating the inflected form of a given lemma corresponding to a particular linguistic transformation. We model the problem of inflection generation as a character sequence to sequence learning problem and present a variant of the neural encoder-decoder model for solving it. Our model is language independent and can be trained in both supervised and semi-supervised settings. We evaluate our system on seven datasets of morphologically rich languages and achieve either better or comparable results to existing state-of-the-art models of inflection generation.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Dec 2015.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 7; 2022: 1; 2023: 3; 2024: 2; 2025: 0; 2026: 1.

14 papers.

Sort: