Morphological Inflection
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Greatest papers with code
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
EMNLP 2018
• sid7954/beam-joint-attention
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In this paper we show that a simple beam approximation of the joint distribution between attention and output is an easy, accurate, and efficient attention mechanism for sequence to sequence learning.
Exact Hard Monotonic Attention for Character-Level Transduction
ACL 2019
• shijie-wu/neural-transducer
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Our models achieve state-of-the-art performance on morphological inflection.
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
• d-ataman/lmm
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Translation into morphologically-rich languages challenges neural machine translation (NMT) models with extremely sparse vocabularies where atomic treatment of surface forms is unrealistic.
An Encoder-Decoder Approach to the Paradigm Cell Filling Problem
The Paradigm Cell Filling Problem in morphology asks to complete word inflection tables from partial ones.
A Structured Variational Autoencoder for Contextual Morphological Inflection
ACL 2018
• LeenaShekhar/NLP-Linguistics-ML-Resources
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Statistical morphological inflectors are typically trained on fully supervised, type-level data.
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
We present a neural transition-based model that uses a simple set of edit actions (copy, delete, insert) for morphological transduction tasks such as inflection generation, lemmatization, and reinflection.