Year: 2019
Type: conference-paper
Abstract: In this paper we describe the preliminary work on a novel treebank which includes texts written by learners of Italian drawn from the VALICO corpus.Data processing mostly involved the application of Universal Dependencies formalism and error annotation.First, we parsed the texts on UDPipe trained on the existent Italian UD treebanks, then we manually corrected them.The particular focus of this paper is on a one-hundred-sentence sample of the collection, used as a case study to define an annotation scheme for identifying the linguistic phenomena characterizing learners' interlanguage.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2989625416
