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Dive into the research topics where Matthew R. Scott is active.

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Featured researches published by Matthew R. Scott.


IEEE Computer | 2012

Computer-Assisted Audiovisual Language Learning

Lijuan Wang; Yao Qian; Matthew R. Scott; Gang Chen; Frank K. Soong

Advances in speech-processing technology have enabled novel ways to learn a foreign language online. With Engkoo, researchers in China are working to turn any computer into a language learning assistant and make searching a language easier. The featured Web extra at http://youtu.be/_VHDMAKKLKo is a video discussion titled “Computer-Assisted Audiovisual Language Learning” that demonstrates Engkoo, a Web-based computer-assisted audiovisual language-learning service that combines two emerging speech processing technologies-talking head and phonetic similarity search.


Proceedings of the IEEE | 2011

Towards a Specialized Search Engine for Language Learners [Point of View]

Matthew R. Scott; Xiaohua Liu; Ming Zhou

The internet serves a paradoxical role in language learning. Providing a fertile ground for neologisms and redefinitions, the web incubates a growing translation gap between ones native tongue and his or her target foreign language. However, the internet can also be used to bridge languages even as they change, because it contains a vast and ever expanding set of human-translated web pages. In this paper, we propose that search engines that mine high-quality human translations can unlock the Webs pedagogical potential, and form the basis for next-generation language learning tools. We introduce Engkoo, an English learning search engine for Chinese speakers, to demonstrate the effectiveness of this concept in practice.


international conference on multimedia and expo | 2009

Visiads: A vision-based advertising platform for camera phones

Matthew R. Scott; Wei Jiang; Xing Xie; Jonathan Tien; Gang Chen; Dong Xiang

In this demonstration, we present VisiAds, a vision-based online advertising platform which allows advertisers to bid on image content as opposed to text keywords. The demonstration shows an implementation of the platform designed specifically for mobile application scenarios. It can be used by advertisers to trigger and deliver multiple advertisements based on a query image captured from a consumer-grade cellular phone with an embedded camera.


international acm sigir conference on research and development in information retrieval | 2011

Tulsa: web search for writing assistance

Duo Ding; Xingping Jiang; Matthew R. Scott; Ming Zhou; Yong Yu

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Archive | 2008

Combining domain-tuned search systems

Matthew R. Scott; Jing Zhao; Raman Chandrasekar; Dean A. Slawson

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Archive | 2011

Network search for writing assistance

Matthew R. Scott; Ming Zhou; Duo Ding; Xingping Jiang; Jonathan Tien; Gang Chen; Hsiao-Wuen Hon; Andrea Jessee


Archive | 2008

User feedback correlated to specific user interface or application features

Raman Chandrasekar; Dean A. Slawson; Matthew R. Scott; Dharmarajan Ratnagiri Ayakkad; Daniel Makoski


Archive | 2009

Image-Based Advertisement Platform

Xing Xie; Matthew R. Scott; Dechao Liu; Wei Jiang; Jonathan Tien


Archive | 2008

Encoding, updating, and decoding barcodes in a document

Matthew R. Scott; Jonathan Tien


Archive | 2010

PHONETIC SUGGESTION ENGINE

Chao Huang; Xuguang Xiao; Jing Zhao; Gang Chen; Frank K. Soong; Matthew R. Scott

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