Hindi Chhattisgarhi Machine Translation System Using Statistical Approach
نویسندگان
چکیده
منابع مشابه
Hindi to Punjabi Machine Translation System
Hindi-Punjabi being closely related language pair (Goyal V. and Lehal G.S., 2008) , Hybrid Machine Translation approach has been used for developing Hindi to Punjabi Machine Translation System. Non-availability of lexical resources, spelling variations in the source language text, source text ambiguous words, named entity recognition and collocations are the major challenges faced while develop...
متن کاملA Punjabi To Hindi Machine Translation System
Punjabi and Hindi are two closely related languages as both originated from the same origin and having lot of syntactic and semantic similarities. These similarities make direct translation methodology an obvious choice for Punjabi-Hindi language pair. The purposed system for Punjabi to Hindi translation has been implemented with various research techniques based on Direct MT architecture and l...
متن کاملStatistical Machine Translation for Indian Languages: Mission Hindi 2
This paper presents Centre for Development of Advanced Computing Mumbai’s (CDACM) submission to NLP Tools Contest on Statistical Machine Translation in Indian Languages (ILSMT) 2015 (collocated with ICON 2015). The aim of the contest was to collectively explore the effectiveness of Statistical Machine Translation (SMT) while translating within Indian languages and between English and Indian lan...
متن کاملPhrase Pair Mappings for Hindi-English Statistical Machine Translation
In this paper, we present our work on the creation of lexical resources for the Machine Translation between English and Hindi. We describes the development of phrase pair mappings for our experiments and the comparative performance evaluation between different trained models on top of the baseline Statistical Machine Translation system. We focused on augmenting the parallel corpus with more voc...
متن کاملStatistical Machine Translation for Indian Languages: Mission Hindi
This paper discusses Centre for Development of Advanced Computing Mumbai’s (CDACM) submission to the NLP Tools Contest on Statistical Machine Translation in Indian Languages (ILSMT) 2014 (collocated with ICON 2014). The objective of the contest was to explore the effectiveness of Statistical Machine Translation (SMT) for Indian language to Indian language and English-Hindi machine translation. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Webology
سال: 2021
ISSN: 1735-188X,1735-188X
DOI: 10.14704/web/v18si02/web18067