emnlp emnlp2013 emnlp2013-162 emnlp2013-162-reference knowledge-graph by maker-knowledge-mining
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Author: Keith Hall ; Richard Sproat
Abstract: We explore a model of stress prediction in Russian using a combination of local contextual features and linguisticallymotivated features associated with the word’s stem and suffix. We frame this as a ranking problem, where the objective is to rank the pronunciation with the correct stress above those with incorrect stress. We train our models using a simple Maximum Entropy ranking framework allowing for efficient prediction. An empirical evaluation shows that a model combining the local contextual features and the linguistically-motivated non-local features performs best in identifying both primary and secondary stress. 1
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