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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 26–50 of 135 papers

TitleStatusHype
CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection GenerationCode0
An Encoder-Decoder Approach to the Paradigm Cell Filling ProblemCode0
Rule-based Morphological Inflection Improves Neural Terminology TranslationCode0
Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level RulesCode0
Eeny, meeny, miny, moe. How to choose data for morphological inflectionCode0
Morphological Inflection: A Reality CheckCode0
OOVs in the Spotlight: How to Inflect them?Code0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' PerformanceCode0
An Investigation of Noise in Morphological InflectionCode0
Morphological Inflection Generation Using Character Sequence to Sequence LearningCode0
Do RNN States Encode Abstract Phonological Alternations?—0
Autoregressive Modeling with Lookahead Attention—0
Do RNN States Encode Abstract Phonological Processes?—0
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German—0
A Three Step Training Approach with Data Augmentation for Morphological Inflection—0
Cross-lingual morphological inflection with explicit alignment—0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding—0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge—0
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection—0
Contextualization of Morphological Inflection—0
Analyzing Learner Understanding of Novel L2 Vocabulary—0
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection—0
Improved pronunciation prediction accuracy using morphology—0
Getting More Data for Low-resource Morphological Inflection: Language Models and Data Augmentation—0
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