Reducing Errors in Translation using Pre-editor for Indian English Sentences

1. Reducing Errors in Translation using Pre-editor for Indian English Sentences Anuradha Sharma, Nishtha Jaiswal

2. Contents Introduction Issues Identified Major Problems detected by manual analysis Pre-editor Role & Rules Category wise Results Conclusion & Future Work

3. Introduction MT Systems expect source language input to be grammatically correct. Sentences acceptable to human may not be acceptable to machine.

4. What is Indian English ? Variety of English spoken primarily in the Indian sub-continent. Focus Area Sentences not getting translated . Sentences getting translated , but pattern mismatch. Inappropriate lexical choice and lexical gaps Grammatically incorrect sentences.

5. What is Pre-editor ? Transform/Paraphrase the surface Automatic editing of Input sentence to easily translatable form Rule base Assistant

6. Issues Identified Simple Sentences Presence/absence of punctuation marks Word/s mis-spelled Ungrammatical structural sentences Presence/absence of which/who, is/are Word-dash POS ambiguity and adverb placement Wrong/Incorrect POS form of the word Presence of adverb before verb Complex sentences Active forms changed to passive form Sentence Initiator/Sentence Terminator Imperative Sentence recognition