Abstract
Phonetic typing using the English alphabet has become widely popular nowadays for social media and chat services. As a result, a text containing various English and Bangla words and phrases has become increasingly common. Existing transliteration tools display poor performance for such texts. This paper proposes a robust Three-stage Hybrid Transliteration (THT) framework that can transliterate both English words and phonetic typed Bangla words satisfactorily. This is achieved by adopting a hybrid approach of dictionary-based and rule-based techniques. Experimental results confirm superiority of THT as it significantly outperforms the benchmark transliteration tool.
Highlights
In this era of globalization, people are unprecedentedly exposed to information from global sources
A total of 3537 unique words is chosen from the sentence database for the experiment
It can be seen that Three-stage Hybrid Transliteration (THT) successfully produced desired transliterations for over 98% of the input words
Summary
In this era of globalization, people are unprecedentedly exposed to information from global sources. Transliteration refers to the phonetic conversion of words across different pairs of languages [2]– [4] It is a challenging task since pronunciation rules vary across languages and there are times when exact/similar sounding phonemes are not available in the target language. An example of this would be to transliterate the proper noun Parvez/Parves (a Persian name) in Arabic which has no letter in the alphabet that sounds similar to both ‘P’ and ‘V’ sounds Another challenge is to transliterate phonetic typed text where native language words are written using primarily English alphabet. We propose a novel robust Three-stage Hybrid Transliteration (THT) framework that converts English words into Bangla. It can transliterate phonetic typed words satisfactorily.
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