Hierarchical phrase-based models are attractive because they provide a consistent framework within which to characterize both local and long-distance reorderings, but they also ma...
Hendra Setiawan, Min-Yen Kan, Haizhou Li, Philip R...
This paper brings a contribution to the problem of efficiently recognizing handwritten words from a limited size lexicon. For that, a multiple classifier system has been developed...
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...
— In a data word each position carries a label from a finite alphabet and a data value from some infinite domain. These models have been already considered in the realm of semi...
Mikolaj Bojanczyk, Anca Muscholl, Thomas Schwentic...
Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...