通过文本和声音线索识别方言

Workshop on NLP for Similar Languages, Varieties and Dialects Pub Date : 1900-01-01 DOI:10.18653/v1/W17-1211

Abualsoud Hanani, Aziz Qaroush, Stephen Eugene Taylor

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引用次数: 14

摘要

我们描述了几个用于识别阿拉伯语或瑞士德语方言短样本的系统，这些系统是为2017年DSL研讨会的共享任务而准备的(Zampieri et al.， 2017)。阿拉伯语数据包括文本和声音文件，我们最好将两者结合起来。瑞士和德国的数据是纯文本的。巧合的是，我们在瑞士德语和阿拉伯语方言任务上的最佳准确率接近63%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identifying dialects with textual and acoustic cues

We describe several systems for identifying short samples of Arabic or Swiss-German dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et al., 2017). The Arabic data comprises both text and acoustic files, and our best run combined both. The Swiss-German data is text-only. Coincidently, our best runs achieved a accuracy of nearly 63% on both the Swiss-German and Arabic dialects tasks.

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Workshop on NLP for Similar Languages, Varieties and Dialects

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