Привітання Б.Є. Патона

The paper presents an efficient, wide-coverage, sentence generator for Dutch, which employs the Alpino grammar and lexicon. This generator consists of a chart-based sentence realizer that builds grammatical sentences for a given abstract dependency structure, and a maximum-entropy fluency ranker which selects the most fluent sentence from a set of candidate sentences for a given dependency structure. The coverage, speed and accuracy of the generator is evaluated on several corpora

Syntactic Profiles in Secondary School Writing Using PaQu and SPOD

SPOD is part of the PaQu website created as a CLARIN project. It allows one to generate a syntactic profile of a corpus based on the output of the automatic parser Alpino. It runs a long sequence of queries and provides quantitative information about constituents, sentence types, coordination, length of constituents, and so on. In this chapter, we employ SPOD and the rest of PaQu to analyse a part of the Schrijfmeterscorpus of secondary school essays. We use a small subsection of the SPOD output for this purpose, in particular those syntactic properties that correlate most reliably with academically oriented texts. We show that SPOD is able to distinguish, on the basis of these variables, among grades and school types

Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring

[EN] This article explores the potential of kernel-based methods for fault diagnosis in batch process monitoring by combining Kernel-Principal Component Analysis and three common techniques which permit analyzing batch data by means of bilinear models: variable-wise unfolding, batch-wise unfolding and landmark feature extraction. Gower's idea of pseudo-sample projection is exploited to develop novel tools, the pseudo-sample based contribution plots, for diagnostic purposes. The results show that, when the datasets under study are affected by severe non-linearities, the proposed approach performs better than classical ones.This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2011-28112-C04-02 and Shell Global Solutions International B.V. (Amsterdam, The Netherlands) under the project PT13698.Vitale, R.; Noord, OED.; Ferrer Riquelme, AJ. (2015). Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring. Chemometrics and Intelligent Laboratory Systems. 149:40-52. https://doi.org/10.1016/j.chemolab.2015.09.013S405214

Calibration transfer between NIR spectrometers: new proposals and a comparative study

[EN] Calibration transfer between near-infrared (NIR) spectrometers is a subtle issue in chemometrics and process industry. In fact, as even very similar instruments may generate strongly different spectral responses, regression models developed on a first NIR system can rarely be used with spectra collected by a second apparatus. In this work, two novel methods to perform calibration transfer between NIR spectrometers are proposed. Both of them permit to exploit the specific relationships between instruments for imputing new unmeasured spectra, which will be then resorted to for building an improved predictive model, suitable for the analysis of future incoming data. Specifically, the two approaches are based on trimmed scores regression and joint-Y partial least squares regression, respectively. The performance of these novel strategies will be assessed and compared to that of well-established techniques such as maximum likelihood principal component analysis and piecewise direct standardisation in two real case studies.This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2014-55276-C5-1R and Shell Global Solutions International B.V. (Amsterdam, the Netherlands).Folch-Fortuny, A.; Vitale, R.; De Noord, OE.; Ferrer, A. (2017). Calibration transfer between NIR spectrometers: new proposals and a comparative study. Journal of Chemometrics. 31(3):1-11. doi:10.1002/cem.2874S11131