{"title":"Zakaryia Almahasees分析英阿机器翻译的书评","authors":"Ika Mahmudah Fauziah, Riska Wahyu Pratiwi Adnin Putri","doi":"10.33806/ijaes.v23i2.471","DOIUrl":null,"url":null,"abstract":"Analysing English-Arabic Machine Translation evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic in a large corpus and paves the way for further research on such an important topic","PeriodicalId":37677,"journal":{"name":"International Journal of Arabic-English Studies","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Book Review of Zakaryia Almahasees’s Analysing English-Arabic Machine Translation\",\"authors\":\"Ika Mahmudah Fauziah, Riska Wahyu Pratiwi Adnin Putri\",\"doi\":\"10.33806/ijaes.v23i2.471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysing English-Arabic Machine Translation evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic in a large corpus and paves the way for further research on such an important topic\",\"PeriodicalId\":37677,\"journal\":{\"name\":\"International Journal of Arabic-English Studies\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Arabic-English Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33806/ijaes.v23i2.471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Arabic-English Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33806/ijaes.v23i2.471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
Book Review of Zakaryia Almahasees’s Analysing English-Arabic Machine Translation
Analysing English-Arabic Machine Translation evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic in a large corpus and paves the way for further research on such an important topic
期刊介绍：
The aim of this international refereed journal is to promote original research into cross-language and cross-cultural studies in general, and Arabic-English contrastive and comparative studies in particular. Within this framework, the journal welcomes contributions to such areas of interest as comparative literature, contrastive textology, contrastive linguistics, lexicology, stylistics, and translation studies. The journal is also interested in theoretical and practical research on both English and Arabic as well as in foreign language education in the Arab world. Reviews of important, up-to- date, relevant publications in English and Arabic are also welcome. In addition to articles and book reviews, IJAES has room for notes, discussion and relevant academic presentations and reports. These may consist of comments, statements on current issues, short reports on ongoing research, or short replies to other articles. The International Journal of Arabic-English Studies (IJAES) is the forum of debate and research for the Association of Professors of English and Translation at Arab Universities (APETAU). However, contributions from scholars involved in language, literature and translation across language communities are invited.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
