Open Source Toolkit for Statistical Machine Translation and Articulatory Feature-based Speech Recognition - CLSP Summer Workshop 2006 Opening Day Presentations

Watch the opening day presentations from the 2006 CLSP Summer Workshop at Johns Hopkins University, featuring team leaders Karen Livescu and Philipp Koehn introducing two major research initiatives. Learn about the Open Source Toolkit for Statistical Machine Translation project led by Philipp Koehn, which brought together senior researchers, graduate students, and undergraduates to develop accessible tools for machine translation research. Discover the Articulatory Feature-based Speech Recognition project headed by Karen Livescu, focusing on innovative approaches to speech recognition using articulatory features. Gain insights into collaborative research methodologies as both teams present their project goals, methodologies, and expected outcomes for the intensive summer workshop. Explore how these interdisciplinary teams combined expertise from senior members including Chris Callison-Burch, Nicola Bertoldi, Marcello Federico, Wade Shen, Ozgur Cetin, Mark Hasegawa-Johnson, and Simon King, along with graduate and undergraduate researchers from various institutions. Understand the structure and objectives of the CLSP Summer Workshop format, which brings together researchers for intensive collaborative projects in language and speech processing technologies.