Exploring the Mental Lexicon of the Multilingual: Vocabulary Size, Cognate Recognition and Lexical Access in the L1, L2 and L3

Recent empirical findings in the field of Multilingualism have shown that the mental lexicon of a language learner does not consist of separate entities, but rather of an intertwined system where languages can interact with each other (e.g. Cenoz, 2013; Szubko-Sitarek, 2015). Accordingly, multilingual language learners have been considered differently to second language learners in a growing number of studies, however studies on the variation in learners’ vocabulary size both in the L2 and L3 and the effect of cognates on the target languages have been relatively scarce. This paper, therefore, investigates the impact of prior lexical knowledge on additional language learning in the case of Hungarian native speakers, who use Romanian (a Romance language) as a second language (L2) and learn English as an L3. The study employs an adapted version of the widely used Vocabulary Size Test (Nation & Beglar, 2007), the Romanian Vocabulary Size Test (based on the Romanian Frequency List; Szabo, 2015) and a Hungarian test (based on a Hungarian frequency list; Varadi, 2002) in order to measure vocabulary sizes, cognate knowledge and response times in these languages. The findings, complemented by a self-rating language background questionnaire, indicate a strong link between Romanian and English lexical proficiency

ADAPTATION OF STATISTICAL MATCHING IN MICRO-REGIONAL ANALYSIS OF AGRICULTURAL PRODUCTION

Agricultural production and agricultural policy has many special dimensions. The production structure, income positions, and labour input have large regional disparities, the production intensity is not homogenous in space, and farms have different risk factors and market possibilities in the different regions of Hungary. Land use and production technology also varies largely, in many regions farming is competitive, highly specialized with big corporate farms, while other regions have small individual farms with mixed production structure and less concentration in land use. There are no direct data for spatial analysis less aggregated than NUTS 3 level. Only the data of agricultural census and administrative database for direct payments are available at settlement and microregional level, but these databases do not provide information of farm income. The income statistics either cannot be disaggregated to micro-regional level (agricultural accounts) or are not representative at this level (FADN). The administrative database of the Paying Agency contains the land use data and limited livestock numbers for all farms receiving direct payments. The FADN database contains a large accountancy dataset for a low number of farms. Statistical matching combines these two databases and provides a possibility for detailed regional analysis using estimated data.micro-regional, statistical matching, administrative data, FADN, Agricultural and Food Policy, Community/Rural/Urban Development,

Generalised sifting in black-box groups

We present a generalisation of the sifting procedure introduced originally by Sims for computation with finite permutation groups, and now used for many computational procedures for groups, such as membership testing and finding group orders. Our procedure is a Monte Carlo algorithm, and is presented and analysed in the context of black-box groups. It is based on a chain of subsets instead of a subgroup chain. Two general versions of the procedure are worked out in detail, and applications are given for membership tests for several of the sporadic simple groups. Our major objective was that the procedures could be proved to be Monte Carlo algorithms, and their costs computed. In addition we explicitly determined suitable subset chains for six of the sporadic groups, and we implemented the algorithms involving these chains in the {\sf GAP} computational algebra system. It turns out that sample implementations perform well in practice. The implementations will be made available publicly in the form of a {\sf GAP} package