Papers with UniMorph project
Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text (N19-1)
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| Challenge: | Using context-sensitive approaches to lemmatization can improve accuracy on unseen and unseense words. |
| Approach: | They propose to use inflection tables and Wikipedia sentences to train a lemmatizer with little or no labeled corpus data to combine type-based learning with context. |
| Outcome: | The proposed model generalizes from unambiguous examples, improving overall and especially on unseen words. |
Wikinflection Corpus: A (Better) Multilingual, Morpheme-Annotated Inflectional Corpus (2020.lrec-1)
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| Challenge: | Inflectional corpora with annotated morpheme boundaries are scarce in the NLP community . a generated, multilingual inflectional lexicon with morphological features is not as good as UniMorph's . |
| Approach: | They evaluate a multilingual inflectional corpus with morpheme boundaries from the English Wiktionary and the UniMorph project's inflection corpus. |
| Outcome: | The generated Wikinflection corpus is not as good as UniMorph's, but extracts significant amount of words from the intersection of the two corpora. |