How Deep and How Long Could Be the Recession in Romania

Using adequate composite indicators, indeed together with other specific models, to analyse high frequency time series and to obtain sort-term forecasts can improve information for business environment, in modern era characterised by an accelerate process of changing. In our study we tried to build a composite indicator based on some monthly time series and to use it in order to obtain short-term forecasts for economic activity at national level. This indicator could be useful taking into account that actually there is no synthetic indicator to describe short-run dynamics of economic activity. To verify hypotheses of the estimating model for composite index, we used in case of Romanian economy the quarterly time series for the elements of it and quarterly published GDP as a benchmark indicator.composite index, economic recession, business cycle indicators, high frequency time series

Wave-wave regular interactions of a gasdynamic type

Two gas dynamic analytic approaches [of a Burnat type / Martin type] are respectively used in order to construct two analogous and significant pairs of classes of solutions [isentropic pair / anisentropic (of a particular type) pair]. Each mentioned pair puts together a class of “wave” elements and a class of “wave-wave regular interaction” elements. A classifying parallel is finally constructed between the two analogous pairs of classes -- making evidence of some consonances and, concurrently, of some nontrivial contrasts

Native Language Identification on Text and Speech

This paper presents an ensemble system combining the output of multiple SVM classifiers to native language identification (NLI). The system was submitted to the NLI Shared Task 2017 fusion track which featured students essays and spoken responses in form of audio transcriptions and iVectors by non-native English speakers of eleven native languages. Our system competed in the challenge under the team name ZCD and was based on an ensemble of SVM classifiers trained on character n-grams achieving 83.58% accuracy and ranking 3rd in the shared task.Comment: Proceedings of the Workshop on Innovative Use of NLP for Building Educational Applications (BEA

L'ordine delle parole

We put forward two mathematical tools, called the rank distance and the bubble distance, to compare the ordinal structure of natural languages. Traditionally, ordinal structures have only been studied in a very basic and “abstract” context, as for example, the six idealised arrangements for the subject-verb-object sequence. Our tools allow one to get an overall picture of the ordinal distance between a text and its translation. Thinking of future work, availability of web resources will make it possible to conduct large-scale experiments, which will account for the difficulties experienced by simultaneous interpreters, say between Italian and German, or even more so between Italian and Turkish. However, if one wants to get a realistic picture of these differences, one has to abandon the traditional approach to mathematics, based on binary logics (true vs. false, black vs. white), and introduce the grey nuances made available by soft logic; in other words one has to relinquish the esprit de géometrie and adopt the esprit de finesse which is typical of soft computing. It is no coincidence that soft logic has been largely inspired by the flexible logical structures which are possessed by natural languages, rather than those of “hard” mathematics. A crisp mathematical approach will do for simple and abstract structures such as subject-verb-object, but it is wholly insufficient if one moves to the overall word order in actual texts