Name
Title | ||
|---|---|---|
Automatic Identification of Closely-related Indian Languages: Resources and Experiments. |
Abstract | ||
|---|---|---|
In this paper, we discuss an attempt to develop an automatic language identification system for 5 closely-related Indo-Aryan languages of India, Awadhi, Bhojpuri, Braj, Hindi and Magahi. We have compiled a comparable corpora of varying length for these languages from various resources. We discuss the method of creation of these corpora in detail. Using these corpora, a language identification system was developed, which currently gives state of the art accuracy of 96.48%. We also used these corpora to study the similarity between the 5 languages at the lexical level, which is the first data-based study of the extent of closeness of these languages. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computation and Language | Bhojpuri,Automatic language identification,Computer science,Hindi,Closeness,Artificial intelligence,Language identification,Natural language processing |
DocType | Volume | Citations |
Journal | abs/1803.09405 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ritesh Kumar | 1 | 11 | 4.93 |
| Bornini Lahiri | 2 | 4 | 2.80 |
| Deepak Alok | 3 | 1 | 1.11 |
| Atul Kr. Ojha | 4 | 2 | 4.38 |
| Mayank Jain | 5 | 0 | 1.69 |
| Abdul Basit | 6 | 0 | 2.37 |
| Yogesh Dawer | 7 | 0 | 0.34 |