Natural Language processing (NLP) represents the task of automatic handling of natural human language by machines.There is large spectrum of possible applications of NLP which help in automating tasks like translating text from one language to other, retrieving and summarizing data from very huge repositories, spam email filtering, identifying fake news in digital media, find sentiment and feedback of people, find political opinions and views of people on various government policies, provide effective medical assistance based on past history records of patient etc. Hindi is the official language of India with nearly 691 million users in India and 366 million in rest of world. At present, a number of government and private sector projects and researchers in India and abroad, are working towards developing NLP applications and resources for Indian languages. This survey gives a report of the resources and applications available for Hindi language NLP.
翻译:自然语言处理(NLP)是用机器自动处理自然语言的任务。 自然语言处理(NLP)是用机器自动处理自然语言的任务。 全国语言处理(NLP)的多种可能应用有助于任务自动化,例如将文字从一种语言翻译到另一种语言,从非常庞大的储存库检索和汇总数据,垃圾邮件过滤,在数字媒体中识别假消息,寻找人们的情绪和反馈,就各种政府政策找到人们的政治观点和观点,根据病人的历史记录等提供有效的医疗援助。印度的官方语言是印地语,印度有近6.91亿用户,世界其他地区有3.66亿用户。目前,印度和国外的一些政府和私营部门项目和研究人员正在致力于开发印度语言的NLP应用程序和资源。这次调查报告了印地语NLP可用的资源和应用程序。