Language Transliteration with LSTM Encoder-Decoder Model

Pratham Mittal, Kartik Garg
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Abstract

It's a fact that humans are social creatures and, in their life, they love to communicate their family and musketeers. Communication is a veritably necessary thing in moment’s life. Communication can be of colorful types, like drooling, news, announcements, etc. Whenever we talk on Facebook, WhatsApp, or Twitter we've seen that people aren't veritably particular about expressing themselves in pure Hindi and pure English, but they tend to mix them up which troubles to a lot of people. Also, occasionally happens that people can not figure out what to write in a formal way. So, we then are making a platform which will convert their mixed English and Hindi language to pure Devanagari form. Which will help them to make a better discussion and help them to increase their cling. To make this be we've made a dataset of English and Hinglish words each defined whether its English or Hindi in front of them and their Devanagari conversion of each. In this way, people can express themselves more freely and directly.
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基于LSTM编码器-解码器模型的语言音译
事实上,人类是社会生物,在他们的生活中,他们喜欢与家人和火枪手交流。交流是我们生活中必不可少的一件事。交流可以是丰富多彩的,比如流口水、新闻、公告等。每当我们在Facebook、WhatsApp或Twitter上聊天时,我们都看到人们并不特别喜欢用纯正的印度语和纯正的英语表达自己,而是倾向于把这两种语言混在一起,这让很多人感到困扰。此外,偶尔也会发生人们不知道用正式的方式写什么。因此,我们正在制作一个平台,将他们的混合英语和印地语转换为纯粹的梵语形式。这将有助于他们进行更好的讨论,并帮助他们增加他们的依附。为了做到这一点,我们制作了一个英语和印度英语单词的数据集,每个单词都定义了它们前面是英语还是印地语,以及它们的梵语转换。通过这种方式,人们可以更自由、更直接地表达自己。
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