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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 125 of 135 papers

TitleStatusHype
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives0
Probing Subphonemes in Morphology Models0
Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data CollectionCode0
OOVs in the Spotlight: How to Inflect them?Code0
Exploring Linguistic Probes for Morphological Generalization0
Morphological Inflection with Phonological FeaturesCode0
An Investigation of Noise in Morphological InflectionCode0
Morphological Inflection: A Reality CheckCode0
Understanding Compositional Data Augmentation in Typologically Diverse Morphological InflectionCode0
A Framework for Bidirectional Decoding: Case Study in Morphological InflectionCode0
Autoregressive Modeling with Lookahead Attention0
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 GANs0
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection0
SIGMORPHON–UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological InflectionCode0
Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection0
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
Generalizing Morphological Inflection Systems to Unseen Lemmas0
SIGMORPHON–UniMorph 2022 Shared Task 0: Modeling Inflection in Language AcquisitionCode0
SIGMORPHON 2022 Task 0 Submission Description: Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches0
UniMorph 4.0: Universal Morphology0
Systematic Inequalities in Language Technology Performance across the World’s LanguagesCode0
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models’ Performance0
One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes0
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