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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 2130 of 135 papers

TitleStatusHype
SIGMORPHON–UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological InflectionCode0
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
SIGMORPHON 2022 Task 0 Submission Description: Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches0
Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection0
SIGMORPHON–UniMorph 2022 Shared Task 0: Modeling Inflection in Language AcquisitionCode0
UniMorph 4.0: Universal Morphology0
Systematic Inequalities in Language Technology Performance across the World’s LanguagesCode0
One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes0
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models’ Performance0
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection0
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