I am working on language identification through i-vector.But i am thinking that if a language which use two language like if we speak hindi and some time u prefer some english word than that type of data set shows some problem for model which built for corresponding language.and it also decrease the performance of model
To identify a language spoken by any human being, first of all, we need to verify its specific as well as common linguistic features such as pronunciation including stress, intonation, rhythm and so on. These common linguistic features are attributed to many languages with little or much variations. So all the languages are considered as different and unique in themselves. So, In order to identify any particular language or languages using language identification programs such as through i-vector or whatever, one should need to incorporate each and every feature of a target language or language for identification or understanding into application (computer programme). Further, To solve the problem of dual language or multiple languages in identification; incorporating most frequently used words and their features from target languages into the software can be helpful.
Thank you
Dear Manish,
The following paper have studied on CROSS LANGUAGE NETWORK and may halp you find useful info.
It also has very relative references.
Article Analyzing behavioral activities among the multilingual big-d...
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