Bi-Gram Based Probabilistic Language Model for Template Messaging
This work reports the benefits of Statistical Machine Translation (SMT) in template messaging domain. SMT has become an actual and practical technology due to significant increment in both the computational power and storage capacity of computers and the availability of large volumes of bilingual data. Through SMT a sentences written with misspelled words, short forms and chatting slang can be corrected. The problem of machine translation is to automatically produce a target-language (e.g., Long form English) sentence from a given source-language (e.g., Short form message) sentence. SMS Lingo is a language used by youngsters for instant messaging or for chatting on social networking websites called chatting slang. Such terms often originate with the purpose of saving keystrokes.