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Morphological Inflection

Morphological Inflection is the task of generating a target (inflected form) word from a source word (base form), given a morphological attribute, e.g. number, tense, and person etc. It is useful for alleviating data sparsity issues in translating morphologically rich languages. The transformation from a base form to an inflected form usually includes concatenating the base form with a prefix or a suffix and substituting some characters. For example, the inflected form of a Finnish stem eläkeikä (retirement age) is eläkeiittä when the case is abessive and the number is plural.

Source: Tackling Sequence to Sequence Mapping Problems with Neural Networks

Papers

Showing 11–20 of 135 papers

TitleStatusHype
Autoregressive Modeling with Lookahead Attention—0
An Extended Sequence Tagging Vocabulary for Grammatical Error CorrectionCode4
Eeny, meeny, miny, moe. How to choose data for morphological inflectionCode0
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs—0
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection—0
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection—0
SIGMORPHON 2022 Task 0 Submission Description: Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches—0
SIGMORPHON–UniMorph 2022 Shared Task 0: Modeling Inflection in Language Acquisition—0
Generalizing Morphological Inflection Systems to Unseen Lemmas—0
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