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The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an approach that use...
AUTOMATIC SIGN LANGUAGE IDENTIFICATION     Sign language  sign language identification  language identification       font style='font-size:12px;'> 2015/4/27
We propose a Random-Forest based sign language identification system. The system uses low-level visual features and is based on the hypothesis that sign languages have varying distributions of phoneme...
This paper describes a system that improves automatic ARPABET transcription by addressing performance issues resulting from Arabic and Russian transliteration in English text. Our system is called EAR...

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