A practical approach to language complexity: a Wikipedia case study
Yasseri, Taha, Kornai, András, Kertész, János
–arXiv.org Artificial Intelligence
We try to address the issue of language complexity empirically by comparing the simple English Wikipedia (Simple) to comparable samples of the main English Wikipedia (Main). Simple is supposed to use a more simplified language with a limited vocabulary, and editors are explicitly requested to follow this guideline, yet in practice the vocabulary richness of both samples are at the same level. Detailed analysis of longer units (n-grams of words and part of speech tags) shows that the language of Simple is less complex than that of Main primarily due to the use of shorter sentences, as opposed to drastically simplified syntax or vocabulary. Comparing the two language varieties by the Gunning readability index supports this conclusion. We also report on the topical dependence of language complexity, e.g. that the language is more advanced in conceptual articles compared to person-based (biographical) and object-based articles. Finally, we investigate the relation between conflict and language complexity by analyzing the content of the talk pages associated to controversial and peacefully developing articles, concluding that controversy has the effect of reducing language complexity.
arXiv.org Artificial Intelligence
Aug-18-2012
- Country:
- Europe
- North America > United States
- California
- Orange County > Costa Mesa (0.04)
- San Francisco County > San Francisco (0.14)
- Florida > Orange County
- Orlando (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- New York > New York County
- New York City (0.05)
- Pennsylvania (0.04)
- Virginia > Fairfax County
- Fairfax (0.04)
- Wisconsin > Milwaukee County
- Oak Creek (0.04)
- California
- Genre:
- Research Report (1.00)
- Technology: