Papers by Mads Toftrup

1 papers
A reproduction of Apple’s bi-directional LSTM models for language identification in short strings (2021.eacl-srw)

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Challenge: Language Identification is the task of identifying a document’s language.
Approach: They propose to use bi-LSTMs to identify language on very short strings such as text message fragments to perform automatic spell check.
Outcome: The proposed model outperforms open-source language identifiers and its language identification mistakes are due to confusion between related languages.

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