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Multidisciplinary Approaches to Multilingualism

Proceedings from the CALS conference 2014

Edited By Kristina Cergol Kovačević and Sanda Lucija Udier

This volume offers a selection of twenty papers presented at the 28 th International Annual Conference of the Croatian Applied Linguistics Society held in 2014. The authors’ reflections on Multidisciplinary Approaches to Multilingualism fall into four different areas of investigation: 1) bilingual and multilingual studies focusing on research in foreign, second and lingua franca issues, 2) language policy and planning, 3) translation studies, lexis and lexical relations and 4) experimental research into language processing. The volume addresses an international audience and places a number of Croatian-based considerations onto the international applied linguistics scene.
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Learner corpus of Croatian as a second and foreign language

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Abstract

Years of experience in teaching Croatian as a foreign language have clearly indicated the need for a lexical resource that overcomes the limitations of existing bilingual dictionaries and manuals, enabling optimal presentation of the Croatian language to non-native speakers.

The aim of this study is to describe the development methodology of the first learner corpus of Croatian as a second and foreign language, the corpus that will be used for producing new lexical resources aimed at non-native speakers of the Croatian language. The learner corpus is based on written texts and audio recordings of foreign students attending Croaticum – Center for Croatian as a Second and Foreign Language at the Faculty of Humanities and Social Sciences, University of Zagreb.

The learner corpus consists of two sub-corpora: a corpus of written texts systematically described by detailed metadata (gender, age, nationality, mother tongue, bilingual or multilingual competence, language competence of parents, etc.) and a corpus of recordings of read-aloud and spontaneous speech. Our hypothesis is that computer processing of our learner corpus should provide the in-depth analysis of learners’ language (description of their interlanguage and deviations from the standard). Computer processing will result in the extraction of important linguistic patterns, due to different levels of corpus annotation and enrichment: morphosyntactic tagging and error tagging. The research will provide insight into the interlanguage of learners and enable language instructors to better understand the real needs of their students.

Research on collected authentic natural...

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