{
  "id": "1403.7455",
  "version": "v1",
  "published": "2014-03-28T17:30:32.000Z",
  "updated": "2014-03-28T17:30:32.000Z",
  "title": "Hybrid Approach to English-Hindi Name Entity Transliteration",
  "authors": [
    "Shruti Mathur",
    "Varun Prakash Saxena"
  ],
  "comment": "Proceedings of IEEE Students' Conference on Electrical, Electronics and Computer Sciences 2014",
  "categories": [
    "cs.CL"
  ],
  "abstract": "Machine translation (MT) research in Indian languages is still in its infancy. Not much work has been done in proper transliteration of name entities in this domain. In this paper we address this issue. We have used English-Hindi language pair for our experiments and have used a hybrid approach. At first we have processed English words using a rule based approach which extracts individual phonemes from the words and then we have applied statistical approach which converts the English into its equivalent Hindi phoneme and in turn the corresponding Hindi word. Through this approach we have attained 83.40% accuracy.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2014-03-28T17:30:32.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "hybrid approach",
      "entity transliteration",
      "extracts individual phonemes",
      "equivalent hindi phoneme",
      "english-hindi language pair"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2014arXiv1403.7455M"
    }
  }
}