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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 2650 of 135 papers

TitleStatusHype
IIT(BHU)--IIITH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological ReinflectionCode0
An Encoder-Decoder Approach to the Paradigm Cell Filling ProblemCode0
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared TaskCode0
Eeny, meeny, miny, moe. How to choose data for morphological inflectionCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Minimal Supervision for Morphological InflectionCode0
Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level RulesCode0
Morphological Inflection: A Reality CheckCode0
An Investigation of Noise in Morphological InflectionCode0
Morphological Inflection Generation Using Character Sequence to Sequence LearningCode0
OOVs in the Spotlight: How to Inflect them?Code0
Morphological Inflection with Phonological FeaturesCode0
Systematic Inequalities in Language Technology Performance across the World’s LanguagesCode0
Do RNN States Encode Abstract Phonological Alternations?0
Autoregressive Modeling with Lookahead Attention0
Do RNN States Encode Abstract Phonological Processes?0
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German0
A Three Step Training Approach with Data Augmentation for Morphological Inflection0
Cross-lingual morphological inflection with explicit alignment0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding0
Improved pronunciation prediction accuracy using morphology0
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge0
Contextualization of Morphological Inflection0
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