Xiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumaran
{"title":"2016年新闻报道机器音译共享任务","authors":"Xiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumaran","doi":"10.18653/v1/W16-2709","DOIUrl":null,"url":null,"abstract":"This report documents the Machine Transliteration Shared Task conducted as a part of the Named Entities Workshop (NEWS 2011), an IJCNLP 2011 workshop. The shared task features machine transliteration of proper names from English to 11 languages and from 3 languages to English. In total, 14 tasks are provided. 10 teams from 7 different countries participated in the evaluations. Finally, 73 standard and 4 non-standard runs are submitted, where diverse transliteration methodologies are explored and reported on the evaluation data. We report the results with 4 performance metrics. We believe that the shared task has successfully achieved its objective by providing a common benchmarking platform for the research community to evaluate the state-of-the-art technologies that benefit the future research and development.","PeriodicalId":262513,"journal":{"name":"NEWS@IJCNLP","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Report of NEWS 2016 Machine Transliteration Shared Task\",\"authors\":\"Xiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumaran\",\"doi\":\"10.18653/v1/W16-2709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This report documents the Machine Transliteration Shared Task conducted as a part of the Named Entities Workshop (NEWS 2011), an IJCNLP 2011 workshop. The shared task features machine transliteration of proper names from English to 11 languages and from 3 languages to English. In total, 14 tasks are provided. 10 teams from 7 different countries participated in the evaluations. Finally, 73 standard and 4 non-standard runs are submitted, where diverse transliteration methodologies are explored and reported on the evaluation data. We report the results with 4 performance metrics. We believe that the shared task has successfully achieved its objective by providing a common benchmarking platform for the research community to evaluate the state-of-the-art technologies that benefit the future research and development.\",\"PeriodicalId\":262513,\"journal\":{\"name\":\"NEWS@IJCNLP\",\"volume\":\"156 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NEWS@IJCNLP\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/W16-2709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NEWS@IJCNLP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W16-2709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Report of NEWS 2016 Machine Transliteration Shared Task
This report documents the Machine Transliteration Shared Task conducted as a part of the Named Entities Workshop (NEWS 2011), an IJCNLP 2011 workshop. The shared task features machine transliteration of proper names from English to 11 languages and from 3 languages to English. In total, 14 tasks are provided. 10 teams from 7 different countries participated in the evaluations. Finally, 73 standard and 4 non-standard runs are submitted, where diverse transliteration methodologies are explored and reported on the evaluation data. We report the results with 4 performance metrics. We believe that the shared task has successfully achieved its objective by providing a common benchmarking platform for the research community to evaluate the state-of-the-art technologies that benefit the future research and development.