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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

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Showing 126–135 of 135 papers

TitleStatusHype
Exploring Looping Effects in RNN-based Architectures—0
Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection—0
Fast and Accurate Reordering with ITG Transition RNN—0
Finding the way from \"a to a: Sub-character morphological inflection for the SIGMORPHON 2018 shared task—0
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings—0
Generalizing Morphological Inflection Systems to Unseen Lemmas—0
Getting More Data for Low-resource Morphological Inflection: Language Models and Data Augmentation—0
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection—0
Improved pronunciation prediction accuracy using morphology—0
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives—0
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