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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 6170 of 135 papers

TitleStatusHype
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological InflectionCode0
Applying the Transformer to Character-level TransductionCode1
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language ProcessingCode1
Getting More Data for Low-resource Morphological Inflection: Language Models and Data Augmentation0
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection EncodingCode1
Learning to Learn Morphological Inflection for Resource-Poor Languages0
A Resource for Studying Chatino Verbal Morphology0
Surface Realisation Using Full Delexicalisation0
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
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