{"title":"纳杰迪阿拉伯语语料库：一种代表性不足的阿拉伯语方言的新语料库","authors":"Rukayah Alhedayani","doi":"10.1007/s10579-024-09749-5","DOIUrl":null,"url":null,"abstract":"<p>This paper presents a new corpus for a dialect of Arabic spoken in the central region of Saudi Arabia: the Najdi Arabic Corpus. This is the first publicly available corpus for this dialect. Audio clips gathered for the purpose of compiling the NAC are of three types: 1. 15-min recordings of interviews with people telling stories about their lives, 2. recordings of varying lengths taken from YouTube, and 3. very short recordings between 2 to 7 min long taken from other social media outlets such as WhatsApp and Snapchat. The total size of the corpus is 275,134 of part-of-speech tagged tokens gathered from different regions of Najd.</p>","PeriodicalId":49927,"journal":{"name":"Language Resources and Evaluation","volume":"111 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Najdi Arabic Corpus: a new corpus for an underrepresented Arabic dialect\",\"authors\":\"Rukayah Alhedayani\",\"doi\":\"10.1007/s10579-024-09749-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper presents a new corpus for a dialect of Arabic spoken in the central region of Saudi Arabia: the Najdi Arabic Corpus. This is the first publicly available corpus for this dialect. Audio clips gathered for the purpose of compiling the NAC are of three types: 1. 15-min recordings of interviews with people telling stories about their lives, 2. recordings of varying lengths taken from YouTube, and 3. very short recordings between 2 to 7 min long taken from other social media outlets such as WhatsApp and Snapchat. The total size of the corpus is 275,134 of part-of-speech tagged tokens gathered from different regions of Najd.</p>\",\"PeriodicalId\":49927,\"journal\":{\"name\":\"Language Resources and Evaluation\",\"volume\":\"111 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Language Resources and Evaluation\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s10579-024-09749-5\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Resources and Evaluation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10579-024-09749-5","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
The Najdi Arabic Corpus: a new corpus for an underrepresented Arabic dialect
This paper presents a new corpus for a dialect of Arabic spoken in the central region of Saudi Arabia: the Najdi Arabic Corpus. This is the first publicly available corpus for this dialect. Audio clips gathered for the purpose of compiling the NAC are of three types: 1. 15-min recordings of interviews with people telling stories about their lives, 2. recordings of varying lengths taken from YouTube, and 3. very short recordings between 2 to 7 min long taken from other social media outlets such as WhatsApp and Snapchat. The total size of the corpus is 275,134 of part-of-speech tagged tokens gathered from different regions of Najd.
期刊介绍：
Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications.
Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use.
Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
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