Portrait of Y. C. Ju

Y. C. Ju

Senior RSDE

About

Yun-Cheng (Y.C.) Ju joined Microsoft in 1994. He received a B.S. in Electrical Engineering from National Taiwan University in 1984 and a master’s and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1990 and 1992, respectively.  Prior to joining Microsoft, he worked at Bell Labs for two years.
Research interests

Statistical Model Learning with Minimum Labeled Data — robust model training, automatic data acquisition, semi-supervised learning.
Information Retrieval–search of structured data.
Spoken Language Understanding: robust understanding, parsing, semantic modeling, call routing, voice search.
Spoken Language Systems: rapid prototyping of speech understanding systems, language learning tools for semantic grammar development.
Speech Recognition: language modeling, language model adaptation.
Statistical Machine Translation.

Projects

Dialog and Conversational Systems Research

Established: March 14, 2014

Conversational systems interact with people through language to assist, enable, or entertain. Research at Microsoft spans dialogs that use language exclusively, or in conjunctions with additional modalities like gesture; where language is spoken or in text; and in a variety…

Spoken Language Understanding

Established: May 1, 2013

Spoken language understanding (SLU) is an emerging field in between the areas of speech processing and natural language processing. The term spoken language understanding has largely been coined for targeted understanding of human speech directed at machines. This project covers…

Understand User’s Intent from Speech and Text

Established: December 17, 2008

Understanding what users like to do/need to get is critical in human computer interaction. When natural user interface like speech or natural language is used in human-computer interaction, such as in a spoken dialogue system or with an internet search…

Personalized Language Model for improved accuracy

Established: January 29, 2004

Traditionally speech recognition systems are built with models that are an average of many different users. A speaker-independent model is provided that works reasonably well for a large percentage of users. But the accuracy can be improved if the acoustic…

Publications

2014

2013

2012

2011

2010

2009

2008

2007

Other

Research interests



  • Statistical Model Learning with Minimum Labeled Data — robust model training, automatic data acquisition, semi-supervised learning.

  • Information Retrieval–search of structured data.

  • Spoken Language Understanding: robust understanding, parsing, semantic modeling, call routing, voice search.

  • Spoken Language Systems: rapid prototyping of speech understanding systems, language learning tools for semantic grammar development.

  • Speech Recognition: language modeling, language model adaptation.

  • Statistical Machine Translation.

 


Background



  • Yun-Cheng (Y.C.) Ju joined Microsoft in 1994. He received a B.S. in Electrical Engineering from National Taiwan University in 1984 and a master’s and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1990 and 1992, respectively.  Prior to joining Microsoft, he worked at Bell Labs for two years.