def main(): trained_slu_test('./dailogreg.nbl.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem') trained_slu_test('./dailogreg.asr.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem') trained_slu_test('./dailogreg.trn.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem')
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals if __name__ == "__main__": import autopath from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test from alex.components.asr.utterance import Utterance if __name__ == "__main__": trained_slu_test("./dailogreg.nbl.model.all", "../bootstrap.trn", Utterance, "../bootstrap.sem") trained_slu_test("./dailogreg.asr.model.all", "../bootstrap.trn", Utterance, "../bootstrap.sem") trained_slu_test("./dailogreg.trn.model.all", "../bootstrap.trn", Utterance, "../bootstrap.sem")
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test from alex.components.asr.utterance import Utterance if __name__ == '__main__': import autopath trained_slu_test('./dailogreg.nbl.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem') trained_slu_test('./dailogreg.asr.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem') trained_slu_test('./dailogreg.trn.model.all', '../bootstrap.trn', Utterance, '../bootstrap.sem')
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals import autopath from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test from alex.components.asr.utterance import Utterance, UtteranceNBList if __name__ == "__main__": # regular experiment evaluating models trained on training data and evaluated on deb and test data # **WARNING** due to data sparsity the metrics on the dev and test data fluctuate a lot # therefore meaningful results can be only obtained using N-fold cross validation trained_slu_test('./dailogreg.trn.model', '../dev.trn', Utterance, '../dev.trn.hdc.sem') trained_slu_test('./dailogreg.trn.model', '../test.trn', Utterance, '../test.trn.hdc.sem') trained_slu_test('./dailogreg.asr.model', '../dev.asr', Utterance, '../dev.trn.hdc.sem') trained_slu_test('./dailogreg.asr.model', '../test.asr', Utterance, '../test.trn.hdc.sem') trained_slu_test('./dailogreg.nbl.model', '../dev.nbl', UtteranceNBList, '../dev.trn.hdc.sem') trained_slu_test('./dailogreg.nbl.model', '../test.nbl', UtteranceNBList, '../test.trn.hdc.sem')
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import unicode_literals from alex.applications.PublicTransportInfoCS.slu.dailogregclassifier.test import trained_slu_test from alex.components.asr.utterance import Utterance, UtteranceNBList if __name__ == "__main__": import autopath # regular experiment evaluating models trained on training data and evaluated on deb and test data # **WARNING** due to data sparsity the metrics on the dev and test data fluctuate a lot # therefore meaningful results can be only obtained using N-fold cross validation trained_slu_test('./dailogreg.trn.model', '../dev.trn', Utterance, '../dev.trn.hdc.sem') trained_slu_test('./dailogreg.trn.model', '../test.trn', Utterance, '../test.trn.hdc.sem') trained_slu_test('./dailogreg.asr.model', '../dev.asr', Utterance, '../dev.trn.hdc.sem') trained_slu_test('./dailogreg.asr.model', '../test.asr', Utterance, '../test.trn.hdc.sem') trained_slu_test('./dailogreg.nbl.model', '../dev.nbl', UtteranceNBList, '../dev.trn.hdc.sem') trained_slu_test('./dailogreg.nbl.model', '../test.nbl', UtteranceNBList, '../test.trn.hdc.sem') # cheating experiment on all data using models trained on all data # though these models are used for live system trained_slu_test('./dailogreg.trn.model.all', '../all.trn', Utterance, '../all.trn.hdc.sem') trained_slu_test('./dailogreg.asr.model.all', '../all.asr', Utterance, '../all.trn.hdc.sem')