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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 51–100 of 135 papers

TitleStatusHype
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs—0
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders—0
Morphological Reinflection in Context: CU Boulder's Submission to CoNLL--SIGMORPHON 2018 Shared Task—0
Morphology is not just a naive Bayes – UniMelb Submission to SIGMORPHON 2022 ST on Morphological Inflection—0
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction—0
Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models—0
Nomen Omen. Enhancing the Latin Morphological Analyser Lemlat with an Onomasticon—0
Not as Awful as it Seems: Explaining German Case through Computational Experiments in Fluid Construction Grammar—0
One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes—0
Online Segment to Segment Neural Transduction—0
Phonological Features for Morphological Inflection—0
POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process—0
Posterior Attention Models for Sequence to Sequence Learning—0
Robust multilingual statistical morphological generation models—0
Searching for Search Errors in Neural Morphological Inflection—0
Seq2seq for Morphological Reinflection: When Deep Learning Fails—0
Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
SIGMORPHON 2022 Task 0 Submission Description: Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches—0
Surface Realisation Using Full Delexicalisation—0
SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models—0
T\"ubingen-Oslo system at SIGMORPHON shared task on morphological inflection. A multi-tasking multilingual sequence to sequence model.—0
The CMU-LTI submission to the SIGMORPHON 2020 Shared Task 0: Language-Specific Cross-Lingual Transfer—0
The DipInfo-UniTo system for SRST 2018—0
The Neural Noisy Channel—0
The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2—0
The NYU System for the CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection—0
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization—0
The OSU Realizer for SRST `18: Neural Sequence-to-Sequence Inflection and Incremental Locality-Based Linearization—0
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection—0
The UniMelb Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection—0
Training Data Augmentation for Low-Resource Morphological Inflection—0
Training Strategies for Neural Multilingual Morphological Inflection—0
Transliteration for Cross-Lingual Morphological Inflection—0
UniMorph 4.0: Universal Morphology—0
University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection—0
(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models’ Performance—0
Unsupervised acquisition of concatenative morphology—0
Using English Baits to Catch Serbian Multi-Word Terminology—0
Using longest common subsequence and character models to predict word forms—0
Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors—0
UZH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection—0
Well-Defined Morphology is Sentence-Level Morphology—0
Were We There Already? Applying Minimal Generalization to the SIGMORPHON-UniMorph Shared Task on Cognitively Plausible Morphological Inflection—0
What can we gain from language models for morphological inflection?—0
Probing Subphonemes in Morphology Models—0
What transfers in morphological inflection? Experiments with analogical models—0
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection—0
Ambiguity Resolution for Vt-N Structures in Chinese—0
Analyzing Learner Understanding of Novel L2 Vocabulary—0
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