In this paper, we present an efficient query selection algorithm for the retrieval of web text data to augment a statistical language model (LM). The number of retrieved relevant documents is optimized with respect to the number of queries submitted.The querying scheme is applied in the domain of SMS text messages. Continuous speech recognition experiments are conducted on three languages: English, Spanish, and French. The web data is utilized for augmenting in-domain LMs in general and for adapting the LMs to a user-specific vocabulary. Word error rate reductions of up to 6.6 % (in LM augmentation) and 26.0 % (in LM adaptation) are obtained in setups, where the size of the web mixture LM is limited to the size of the baseline in-domain LM.

Methods of competency schema identification form the main topic of the paper. The survey of literature on the significance of competences on labour markets justifies the need for searching new methods and tools for performing labour market analysis. The authors propose competency schemas as a new tool for analysis competency demand existing on a given market. It seems that competency schemas can outperform competency profiles with respect to the scope of information which they can present. After presenting competency schemas concept, their application to analysis the situation on Polish labour market was discussed. The conclusions are formulated in the last part of the paper.

The main purpose of the article is to compare different quality of life variables in Poland and Russia. The study presents definitional problems associated with the concept of quality of life and defines its various dimensions. The study reviews the subject literature applying a descriptive method as well as presents own empirical research. The research project was based on the surveys carried out among Polish students of the

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