Using a machine learning model to assess the complexity of stress systems
Liviu P. Dinu, Alina Maria Ciobanu, Ioana Chițoran, Vlad Niculae · 2014
We address the task of stress prediction as a sequence tagging problem.We present sequential models with averaged perceptron training for learning primary stress in Romanian words.We use character n-grams and syllable n-grams as features and we account for the consonant-vowel structure of the words.We show in this paper that Romanian stress is predictable, though not deterministic, by using data-driven machine learning techniques.