Papers with string-transduction task

1 papers
Improving Lemmatization of Non-Standard Languages with Joint Learning (N19-1)

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Challenge: Lemmatization is a task of mapping a token to its corresponding dictionary head-form to abstract away from orthographic and inflectional variation.
Approach: They propose to improve lemmatization performance on non-standard historical languages . they propose an Encoder-Decoder architecture which enriches with sentence information .
Outcome: The proposed model does not require POS or morphological annotations, which are not always available for historical corpora.

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