Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequence of context-dependent parsing actions from an arbitrary corpus containing labelled parse trees. Being trained and tested on corpus SUSANNE, GRIND reaches the accuracy of 96 % and the recall of 68 %.

Increase in demand for ethanol as a fuel additive has resulted in dramatic growth in ethanol production. Ethanol is produced from corn by wet milling or dry grind processing. Wet mill plants are capital intensive due to equipment requirements; they produce large volumes of ethanol and are corporate owned. In dry grind processing, the kernel is not fractionated and only one coproduct, distillers...

The dry-grind corn process is one of two technologies used to convert corn into ethanol. In this process, all kernel components are processed through several sequential steps, including fermentation. Only one coproduct (distillers' dried grains with solubles [DDGS]) is available for marketing. DDGS provide income to offset costs of processing; issues that affect marketing have implications in t...

The information provided by the alignment-independent GRid Independent Descriptors (GRIND) can be condensed by the application of principal component analysis, obtaining a small number of principal properties (GRIND-PP), which is more suitable for describing molecular similarity. The objective of the present study is to optimize diverse parameters involved in the obtention of the GRIND-PP and v...

Increased demand for ethanol as a fuel additive has resulted in dramatic growth in ethanol production. Ethanol is produced from corn by either wet milling or dry-grind processing. In wet milling, the corn kernel is fractionated into different components, resulting in several coproducts. Wet-milling plants are capital intensive because of equipment requirements; they produce large volumes of eth...