Papers by Claudiu Musat

2 papers
A Swiss German Dictionary: Variation in Speech and Writing (2020.lrec-1)

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Challenge: Besides standard German, Swiss German is spoken in about two thirds of Switzerland.
Approach: They propose a dictionary containing normalized forms of common Swiss German words paired with Swiss German phonetic transcriptions to alleviate the uncertainty associated with this diversity.
Outcome: The proposed dictionary is the first to combine spontaneous translation and phonetic transcriptions in large-scale, scalable phoneme to grapheme model that generates credible novel Swiss German writings.
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German (L18-1)

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Challenge: Using character-based neural MT, we normalize Swiss German input to address regional diversity.
Approach: They propose to use character-based neural MT to normalize Swiss German input and phrase-based statistical MT for a low-resource family of dialects.
Outcome: The proposed system achieves 36% BLEU score when translating from the Bernese dialect.

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