The paper presents a novel sentence-based language classifier that accepts a sentence as input and produces a confidence value for each target language. The proposed classifier incorporates Unicode based features and a neural network. The three features Unicode, exclusive Unicode and word matching score are extracted and fed to a neural network for obtaining a final confidence value. The word matching score is calculated by matching words in an input sentence against a common word... Read more
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