- Tytuł:
- Predicting word order universals
- Autorzy:
- Merlo, P.
- Powiązania:
- https://bibliotekanauki.pl/articles/103843.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Instytut Podstaw Informatyki PAN
- Tematy:
-
frequency
word order universals
Greenberg’s Universal 20
computational modelling
probabilistic models
Naive Bayes - Opis:
- This paper shows a computational learning paradigm to compare and test theories about language universals. Its main contribution lies in the illustration of the encoding and comparison of theories about typological universals to measure the generalisation ability of these theories. In so doing, this method uncovers hidden dependencies between theoretical dimensions and primitives that were considered independent and independently motivated.
- Źródło:
-
Journal of Language Modelling; 2015, 3, 2; 317-344
2299-856X
2299-8470 - Pojawia się w:
- Journal of Language Modelling
- Dostawca treści:
- Biblioteka Nauki
Artykuł