Abstract: Language disorder diagnostic/screening methods, tools and software are provided. Audio data including speech of a subject is received. The audio data is transcribed to provide text data. Speech and language features are extracted from the text data and from the audio data. The extracted features are evaluated using a classification system to diagnose/screen whether the subject has a language disorder. The classification system includes at least one machine learning classifier. A diagnosis/screening is output.