Language Identification of Devanagari Poems
IIIT Bhubaneswar（布巴内斯瓦尔印度信息技术学院）；IIT BHU（印度理工学院瓦拉纳西分校）
英文摘要：
Language Identification is a very important part of several text processing pipelines. Extensive research has been done in this field. This paper proposes a procedure for automatic language identification of poems for poem analysis task, consisting of 10 Devanagari based languages of India i.e. Angika, Awadhi, Braj, Bhojpuri, Chhattisgarhi, Garhwali, Haryanvi, Hindi, Magahi, and Maithili. We collated corpora of poems of varying length and studied the similarity of poems among the 10 languages at the lexical level. Finally, various language identification systems based on supervised machine learning and deep learning techniques are applied and evaluated.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
