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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 76–100 of 135 papers

TitleStatusHype
Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few—0
Exact Hard Monotonic Attention for Character-Level TransductionCode1
Sparse Sequence-to-Sequence ModelsCode0
Contextualization of Morphological Inflection—0
Posterior Attention Models for Sequence to Sequence Learning—0
SimpleNLG-ZH: a Linguistic Realisation Engine for MandarinCode0
Phonological Features for Morphological Inflection—0
KU-CST at CoNLL--SIGMORPHON 2018 Shared Task: a Tridirectional Model—0
UZH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection—0
What can we gain from language models for morphological inflection?—0
BME-HAS System for CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection—0
IIT(BHU)--IIITH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological ReinflectionCode0
Finding the way from \"a to a: Sub-character morphological inflection for the SIGMORPHON 2018 shared task—0
IPS-WASEDA system at CoNLL--SIGMORPHON 2018 Shared Task on morphological inflection—0
T\"ubingen-Oslo system at SIGMORPHON shared task on morphological inflection. A multi-tasking multilingual sequence to sequence model.—0
Morphological Reinflection in Context: CU Boulder's Submission to CoNLL--SIGMORPHON 2018 Shared Task—0
The NYU System for the CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection—0
Experiments on Morphological Reinflection: CoNLL-2018 Shared Task—0
Surprisingly Easy Hard-Attention for Sequence to Sequence LearningCode0
An Encoder-Decoder Approach to the Paradigm Cell Filling ProblemCode0
Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared TaskCode0
Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding—0
Neural Transition-based String Transduction for Limited-Resource Setting in MorphologyCode0
Fast and Accurate Reordering with ITG Transition RNN—0
Local String Transduction as Sequence Labeling—0
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