Current methods of using lexical features in machine translation have difficulty in scaling up to realistic MT tasks due to a prohibitively large number of parameters involved. In...
This paper presents a comparative study of target dependency structures yielded by several state-of-the-art linguistic parsers. Our approach is to measure the impact of these noni...
Xianchao Wu, Katsuhito Sudoh, Kevin Duh, Hajime Ts...
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domai...
This paper presents a statistical framework to cooperatively design and develop technology, product circuit, benchmarking and model early in the development stage. The statistical...
Choongyeun Cho, Daeik D. Kim, Jonghae Kim, Jean-Ol...