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From Shakespeare to Twitter: What are Language Styles all about?

What it is about

This is a position and survey paper, not a method paper. It names seven language styles that the author thinks matter: simple and short text, historical and evolving language, instructional and robotic language, colloquial and internet language, gendered and personalized language, polite and abusive language, and pervasive and framing language. For each style it reviews past work, the present challenges and the likely impact. Across the seven, the paper argues that the main problems are data: shortage, fusion (styles mixed within one text, so they are hard to separate), and annotation. It also observes that automatic evaluation, and human evaluation with Likert scales, is hard to get right, and that stylistic paraphrasing of Shakespeare works better than transfer of gendered style, which is harder to test.

Ideas

For Mova

There is no method here to port. The card is a map: the style classes give the labels that problem 8 needs, and the data-fusion warning is a check to add before any author delta is trusted. The likely code is tools/translate (meta.rs, profile.rs).

Topics: Machine translation

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.18653/v1/w17-4901

@inproceedings{xu2017shakespeare,
  title = {{From Shakespeare to Twitter: What are Language Styles all about?}},
  author = {Xu, Wei},
  booktitle = {Proceedings of the Workshop on Stylistic Variation},
  year = {2017},
  doi = {10.18653/v1/w17-4901},
  url = {https://doi.org/10.18653/v1/w17-4901}
}

References

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