Mladen Sokele

Opportunities for implementation machine-to machine services via 3g mobile networks

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Hascheck - The Croatian Academic Spelling Checker

The Croatian Academic Spelling Checker, or Hascheck, is a telematic service embedded in E-mail. The user sends his/her text to an address and waits for an automatic reply in the form of a Hascheck report. As a program, Hascheck is a learning semiautomaton. First, it evaluates unrecognised strings from a text in a fuzzy manner: some of them are extremely peculiar, others are very or moderately peculiar, and the rest are almost non-peculiar strings, i.e. almost certainly words. Then, less peculiar strings are processed by a tagger. Last, after a minor human intervention, a collection of words to be learned is obtained. In this paper we describe in short the string classifying algorithm and its selectivity. We also describe the tagging algorithm and its efficiency. Experience gained during four years of service operation, accomplished with two analytic functions describing the learning process, are also presented. Finally, we discuss project costs and benefits.

Computational proofreading of the Croatian lexicon

The design of a spelling checker for a highly inflected language is commonly regarded as a difficult problem. We present an approach to this problem, which is mainly statistically based. The approach was tested on the Croatian language. An unconventional spelling checking tool was developed. The results obtained by performing the most demanding task for any spelling checker, the proofreading of a huge lexicon, point out that this approach could be applicable to many languages.

An economic approach to big data in a minority language

Googles n-gram project brought recently big data benefits to several main world languages, like English, Chinese etc. Any attempt to derive such systems, aimed to accelerate the development of NLP applications for world minority languages, in the manner in which it has been done in the project, encounters many obstacles. This paper presents an innovative and economic approach to large-scale n-gram system creation applied to the Croatian language case. Instead of using the Web as the worlds biggest text repository, our process of n-gram collection relies on the Croatian academic online spellchecker Hascheck, a language service publicly available since 1993 and popular worldwide. The service has already processed a corpus whose size exceeds the size of the Croatian web-corpus created in recent years. Contrary to the Google n-gram systems, where cutoff criteria were applied, our n-gram filtering is based on dictionary criteria. This resulted in a system comparable in size to the largest n-gram systems of today. Because of the reliance on a service in constant use, the Croatian n-gram system is a dynamic one, unique among the systems compared. The importance of having an n-gram infrastructure for rapid breakthroughs in new application areas is also exemplified in the paper.

Bass Model with Explanatory Parameters

Over the 45 years, the Bass model is widely used in the forecasting of new technology diffusion and for the growth of new products/services. The Bass model has four parameters: market capacity, time when product/service is introduced, coefficient of innovation and coefficient of imitation. Although values of coefficient of innovation and coefficient of imitation describe the process of how new product/service gets adopted as an interaction between users and potential users, their explanatory meaning is not perceptible.

Determination of time criteria for assessment in Learning Management Systems

Todays Learning Management Systems, in conjunction with knowledge and skill acquisition modules, offer the possibility for automated assessment of the aforementioned knowledge and skills. Their implementation in teaching offers a wide range of advantages: reducing teacher administrative work, reducing the possibility of errors concerning preparation, execution and evaluation of exams; elimination of teachers subjectivity during the evaluation phase; lessening of inappropriate student actions during exams etc. A majority of tests that are done through LMS have a time limit, which opens up a problem of determining the optimal time parameters for a specific exam. The paper includes a statistical data analysis that was collected during five years via LMS Moodle on the Personal Computer Applications (PCA) course in professional study of electrical engineering at the Zagreb University of Applied Sciences. Through analysis and modelling the results of the statistical data processing, guidelines for time criteria for future tests were made.