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Automatic Dialect Identification: A Study of British English

机译:自动方言识别:英式英语研究

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摘要

This contribution deals with the automatic identification of the dialects of the British Isles. Several methods based on the linguistic study of dialect-specific vowel systems are proposed and compared using the Accents of the British Isles (ABI) corpus. The first method examines differences in diphthongization for the face lexical set. Discrimination scores in a two-dialect discrimination task range from chance to ca. 98 % of correct decision depending on the pair of dialects under test. Thanks to the ACCDIST method (developed in [1.2]), the second and third experiments take dialectal differences in the structure of vowel systems into consideration; evaluation is performed on a 13-dialect closed set identification task. Correct identification reaches up to 90 % with two subsets of the ABI corpus (/hVd/ set and read passages). All these experiments rely on a front-end automatic phonetic alignment and are therefore text-dependent. Results and possible improvements are discussed in the light of British dialectology.
机译:该贡献涉及不列颠群岛方言的自动识别。提出了几种基于方言专用元音系统的语言学研究方法,并使用不列颠群岛(ABI)语料库进行了比较。第一种方法检查脸部词汇集在二元化中的差异。两次方言辨别任务中的辨别分数范围从机会到大约。 98%的正确决定取决于被测方言对。由于使用了ACCDIST方法(在[1.2]中开发),第二和第三次实验考虑了元音系统结构的方言差异。对13个方向的闭合集识别任务执行评估。使用ABI语料库的两个子集(/ hVd /设置和读取段落),正确识别率高达90%。所有这些实验都依赖于前端自动语音对齐,因此依赖于文本。根据英国方言讨论了结果和可能的改进。

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