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
- I1. Use the seven classes as tags on the author corpora, so a delta can be labelled per style class (open problem 8). Measure whether a class-level delta holds on books the delta was not learned from.
- I2. Guard against the data-fusion problem. When one text mixes styles, an author delta can absorb topic noise. Keep an override only if it holds in most books, not in one.
- I3. Politeness sits in function words, which the paper says is the main cue. This supports counting function words as meta-token features (open problem 4). The paper gives no count method, so test it on the verse pairs before building anything.
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).
Cite
@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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