Standard methods for part-of-speech tagging suffer from data sparseness when used on highly inflectional languages (which require large lexical tagset inventories). For this reason, a number of alternative methods have been proposed over the years. One of the most successful methods used for this task, FDOOHG 7LHUHG 7DJJLQJ 7XIL , 1999), exploits a reduced set of tags derived by removing severa...

In this paper, we develop a new generative paradigm with which to capture phonological generalizations. Our framework differs from standard generative frameworks inasmuch as we eschew all derivational analyses. Thus, we dispense with procedural transformations of underlying and intermediate representations into surface forms by means of the cyclic application of relatively unconstrained context...

The ordered, lamellae-structured ridges on the wing scales of Morpho butterflies give rise to their striking blue iridescence by multilayer interference and grating diffraction. At the same time, the random offsets among the ridges broaden the directional multilayer reflection peaks and the grating diffraction peaks that the color appears the same at various viewing angles, contrary to the very...

In this paper, we investigate the role of morphology in phrase-based statistical machine translation (SMT) from English to the highly inflectional Slovenian language. Translation to an inflectional language is a challenging task because of its morphological complexity. Rich morphology increases data sparsity and worsens the quality of statistical machine translation. The idea of the paper is to...

This paper presents the evaluation and results of Competition 2 (information retrieval experiments) in the Morpho Challenge 2008. Competition 1 (a comparison to linguistic gold standard) is described in a companion paper. In Morpho Challenge 2008 the goal was to search and evaluate unsupervised machine learning algorithms that provide morpheme analysis for words in different languages. The morp...

Texts acquired from recognition sources—continuous speech/handwriting recognition and OCR—generally have three types of errors regardless of the characteristics of the source in particular. The output of the recognition process may be (1) poorly segmented or not segmented at all; (2) containing underspecified symbols (where the recognition process can only indicate that the symbol belongs to a ...

In the last years, there is a growing demand for plants used in traditional medicine. Licorice (Glycyrrhiza glabra) contains different phytocompounds, that have demonstrated various pharmacological activities. The endophytic fungus, Piriformospora indica, has been reported to enhance the growth of host plants and allow them to survive under abiotic and biotic stress. This study was undertaken t...

We describe the early stage of our methodology of knowledge acquisition from technical texts. First, a partial morpho-syntactic analysis is performed to extract "candi-date terms". Then, the knowledge engineer , assisted by an automatic clustering tool, builds the "conceptual fields" of the domain. We focus on this conceptual analysis stage, describe the data prepared from the results of the mo...

This paper presents a methodology for recognizing, identifying and classifying built objects in dense urban areas, using a morphospectral approach applied to VNIR/SWIR hyperspectral image (HySpex). This methodology contains several image processing steps: Principal Components Analysis and Laplacian enhancement, Feature Extraction of segmented build-up objects, and supervised classification from...

Morpho butterflies are well known for their brilliant iridescent colors, which arise from periodic arrays of scales. These brilliant colors have a low angle dependence, in contrast to similar phenomena that are commonly caused by the periodic structures. We designed a structure with a low incident and viewing angle dependence inspired by Morpho butterflies. This structure was studied using the ...