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Automatic scoring of non-native spontaneous speech in tests of spoken English., , , and . Speech Commun., 51 (10): 883-895 (2009)Prompt-based Content Scoring for Automated Spoken Language Assessment., , and . BEA@NAACL-HLT, page 157-162. The Association for Computer Linguistics, (2013)978-1-937284-47-3.Automated Content Scoring of Spoken Responses in an Assessment for Teachers of English., and . BEA@NAACL-HLT, page 73-81. The Association for Computer Linguistics, (2013)978-1-937284-47-3.Using an Ontology for Improved Automated Content Scoring of Spontaneous Non-Native Speech., and . BEA@NAACL-HLT, page 86-94. The Association for Computer Linguistics, (2012)978-1-937284-20-6.Towards Automatic Scoring of Non-Native Spontaneous Speech., and . HLT-NAACL, The Association for Computational Linguistics, (2006)Exploring Content Features for Automated Speech Scoring., , and . HLT-NAACL, page 103-111. The Association for Computational Linguistics, (2012)Efficient Optimization for Bilingual Sentence Alignment Based on Linear Regression., , , and . ParallelTexts@NAACL-HLT, (2003)SpeechraterTM: a construct-driven approach to scoring spontaneous non-native speech., , and . SLaTE, page 128-131. Carnegie Mellon University / ISCA, (2007)Expert and crowdsourced annotation of pronunciation errors for automatic scoring systems., , , , and . INTERSPEECH, page 2809-2813. ISCA, (2015)Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment., , , and . INTERSPEECH, page 1871-1875. ISCA, (2019)