Abstrakt
Investigating language acquisition by non-native learners helps to understand important linguistic issues and to develop teaching methods, better suited both to the specific target language and to the learner. These tasks can now be based on empirical evidence from learner corpora including Czech.
They are equipped with morphological and syntactic annotation, together with the detection and categorization of non-standard linguistic phenomena. After an overview of existing resources we propose solutions to several issues inherent to the process of compiling, annotating and using such corpora, including automatic identification of errors, design and application of error taxonomy, and user-friendly search tool.
Finally, we deal with the question to what extent resources and tools available for standard language can be applied to the language of non-native learners.