A Hybrid Neural Network for Language Identification from Text

In this paper, the problem of language identification from a written text is addressed. The problem is connected to text-to-phoneme mapping application where the letters of a written text must be translated into their corresponding phonemes. When the words of the written text belong only to a single known language, transcription of the written letters into their phonemes can be done directly (without the need of language identification). When the language of the input text is not known, usually the first step is to identify the language and, based on this information, the text- to-phoneme mapping is done. In this paper, we introduce a novel hybrid approach composed of a neural network equipped with a decision rule for language recognition from written text. Comparative results showing the improved performance of our novel approach compared with an existing similar method are also shown.