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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
An Extended Sequence Tagging Vocabulary for Grammatical Error CorrectionCode4
Applying the Transformer to Character-level TransductionCode1
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language ProcessingCode1
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection EncodingCode1
Exact Hard Monotonic Attention for Character-Level TransductionCode1
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
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
Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection0
SIGMORPHON–UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological InflectionCode0
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
Generalizing Morphological Inflection Systems to Unseen Lemmas0
SIGMORPHON 2022 Task 0 Submission Description: Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches0
SIGMORPHON–UniMorph 2022 Shared Task 0: Modeling Inflection in Language AcquisitionCode0
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