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Found 4 papers, 1 papers with code
Exploring Looping Effects in RNN-based Architectures
The paper investigates repetitive loops, a common problem in contemporary text generation (such as machine translation, language modelling, morphological inflection) systems.
Eeny, meeny, miny, moe. How to choose data for morphological inflection
In this paper, we explore four sampling strategies for the task of morphological inflection using a Transformer model: a pair of oracle experiments where data is chosen based on whether the model already can or cannot inflect the test forms correctly, as well as strategies based on high/low model confidence, entropy, as well as random selection.
To compress or not to compress? A Finite-State approach to Nen verbal morphology
While the {`}Chunking{'} model is under half the size of the full de-composed counterpart, the decomposition displays higher structural order.
Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars
Sequence-to-sequence models have proven to be highly successful in learning morphological inflection from examples as the series of SIGMORPHON/CoNLL shared tasks have shown.
