Papers with Paradigm Cell Filling Problem
Minimal Supervision for Morphological Inflection (2021.emnlp-main)
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| Challenge: | Neural models for morphological reinflection tasks have proved to be extremely accurate given ample labeled data, yet labele d data may be slow and costly to obtain. |
| Approach: | They exploit orthographic and semantic regularities in morphological systems to exploit the orthographic regularities on their own to achieve respectable accuracy. |
| Outcome: | The bootstrapping method outperforms hallucination-based methods for morphological reinflection tasks. |
Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers (2025.findings-acl)
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| Challenge: | A common generation task in morphology is morphological inflection, where a target form has to be generated from its corresponding lemma and feature tag. |
| Approach: | They propose to solve the Paradigm Cell Filling Problem (PCFP) by using encoder-decoder transformers to generate inflected verbs in Spanish. |
| Outcome: | The proposed model performs better on L-shaped verbs than regular verbs, but no consistent recency effects are observed. |
An Encoder-Decoder Approach to the Paradigm Cell Filling Problem (D18-1)
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| Challenge: | a Paradigm cell filling problem is a problem that asks how speakers of a language can reliably produce inflectional forms without ever witnessing them before. |
| Approach: | They implement novel neural models for the Paradigm Cell Filling Problem in morphology . they evaluate models on 18 data sets in 8 languages and implement them in a new dataset . |
| Outcome: | The proposed model performs comparable to previous work with less training data. |