A WORD GRAMMAR OF TURKISH WITH MORPHOPHONEMIC RULES  Oztaner, Serdar Murat M.S., Department of Computer Engineering Supervisor: Assist. Prof. Dr. Cem Boz sahin January 1996, 128 pages This thesis is about the computational morphological analysis and generation of Turkish word forms. Turkish morphological description is encoded using the two-level morphological model. This description consists ...

a procedure for an efficient recovering of reflectance spectra of acrylic paint samples from cie tristimulus color values is described. by fixing a certain criteria based on color difference value, the proposed technique preliminarily selects a series of suitable samples from a main dataset containing the reflectance values of a series of different acrylic paint samples, based on the color spec...

medicinal plant species constitute a considerable part of the flora in iran and play a major role in the composition of plant communities. therefore, it is necessary to recognize the factors leading to the establishment and distribution of vegetation. for data sampling (2012), land units were specified. the plot size was determined using minimal area method and number of plots was determined by...

Intraspecific variabilities in 25 IITA accessions of African yam bean (AYB) (Sphenostylis stenocarpa Ex. A. Rich.) Harms were assessed through characterization of 36 morphological characters. The intraspecific variabilities among the accessions were evaluated by the following statistical analysis tools: Analysis of Variance (ANOVA), principal component and cluster analysis (Semi partial Rsquare...

A computer program that is intended to carry out nontrivial operations on texts in an ordinary language must start by recognizing the words that the text is made up of. This is the procedure I call morphological analysis. It is necessary because the linguistically interesting properties of words cannot be discovered by examining the words themselves but are associated with them in an essentiall...

q-mode hierarchical cluster (hca) and principal component analysis (pca) were simultaneously applied to groundwater hydrochemical data from the three times in 2004: june, september, and december, along the ain azel aquifer, algeria, to extract principal factors corresponding to the different sources of variation in the hydrochemistry, with the objective of defining the main controls on the h...

targeted extension for heterogeneous farming systems is a challenge in developing countries. farm type identification and characterization based on estimates of income from different farm components allows simplifying diversity in farming systems. use of multivariate statistical techniques, such as principal component analysis (pca) and cluster analysis (ca), help in such farm typology delineat...

classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

the karnafully is one of the most important rivers due to its profound influence on water chemistry and sediment characteristics. the present study intended to assess the quality of water and sediment from intertidal zone of this river in respect to the pollution index. seasonal water and sediment samples were collected during four seasons (monsoon, post-monsoon, winter, and pre-monsoon) of 201...