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Part-of-speech (POS) taggers trained on newswire perform much worse on domains such as subtitles, lyrics, or tweets. In addition, these domains are also heterogeneous, e.g., with respect to registers and dialects. In this paper, we consider the problem of learning a POS tagger for subtitles, lyrics, and tweets associated with African-American Vernacular(More)
Dialect features typically do not make it into formal writing, but flourish in social media. This enables large-scale variational studies. We focus on three phonological features of African American Vernacular English and their manifestation as spelling variations on Twitter. We discuss to what extent our data can be used to falsify eight sociolinguistic(More)
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