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Exploring Complex Vowels as Phrase Break Correlates in a Corpus of English Speech with ProPOSEL, a Prosody and POS English Lexicon

机译:探索复杂的元音作为短语中的短语与提案,韵律和POS英语词典相关联

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Real-world knowledge of syntax is seen as integral to the machine learning task of phrase break prediction but there is a deficiency of a priori knowledge of prosody in both rule-based and data-driven classifiers. Speech recognition has established that pauses affect vowel duration in preceding words. Based on the observation that complex vowels occur at rhythmic junctures in poetry, we run significance tests on a sample of transcribed, contemporary British English speech and find a statistically significant correlation between complex vowels and phrase breaks. The experiment depends on automatic text annotation via ProPOSEL, a prosody and part-of-speech English lexicon.
机译:真实世界的语法知识被视为短语中断预测的机器学习任务的组成,但在基于规则和数据驱动的分类器中,存在对韵律的先验知识的缺陷。语音识别已经建立了暂停,暂停在前面的单词中影响元音持续时间。基于观察来看,复杂元音发生在诗歌中的节奏时刻,我们对转录,当代英语言论样本进行了重要性测试,并在复杂元音和短语中找到了统计学上的相关性。实验取决于通过Proposel,韵律和语音中英语词汇的自动文本注释。

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