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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 101–135 of 135 papers

TitleStatusHype
A Resource for Studying Chatino Verbal Morphology—0
A Three Step Training Approach with Data Augmentation for Morphological Inflection—0
Autoregressive Modeling with Lookahead Attention—0
Backtranslation in Neural Morphological Inflection—0
BME-HAS System for CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection—0
BME Submission for SIGMORPHON 2021 Shared Task 0. A Three Step Training Approach with Data Augmentation for Morphological Inflection—0
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models—0
Character-based recurrent neural networks for morphological relational reasoning—0
Contextualization of Morphological Inflection—0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge—0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding—0
Cross-lingual morphological inflection with explicit alignment—0
DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German—0
Do RNN States Encode Abstract Phonological Processes?—0
Do RNN States Encode Abstract Phonological Alternations?—0
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection—0
Ensembles of Neural Morphological Inflection Models—0
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary—0
Experiments on Morphological Reinflection: CoNLL-2018 Shared Task—0
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task—0
Exploring Linguistic Probes for Morphological Generalization—0
Exploring Looping Effects in RNN-based Architectures—0
Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection—0
Fast and Accurate Reordering with ITG Transition RNN—0
Finding the way from \"a to a: Sub-character morphological inflection for the SIGMORPHON 2018 shared task—0
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings—0
Generalizing Morphological Inflection Systems to Unseen Lemmas—0
Getting More Data for Low-resource Morphological Inflection: Language Models and Data Augmentation—0
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection—0
Improved pronunciation prediction accuracy using morphology—0
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives—0
Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection—0
Inflection Generation as Discriminative String Transduction—0
Inflection Generation for Spanish Verbs using Supervised Learning—0
Inverting and Modeling Morphological Inflection—0
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