Building a learner corpus for Russian

Semi-automatically Annotated Learner Corpus for Russian

We present ReLCo— the Revita Learner Corpus—a new semi-automatically annotated learner corpus for Russian. The corpus was collected while several thousand L2 learners were performing exercises using the Revita language-l…

Toward a Paradigm Shift in Collection of Learner Corpora

We present the first version of the longitudinal Revita Learner Corpus (ReLCo), for Russian. In contrast to traditional learner corpora, ReLCo is collected and annotated fully automatically, while students perform exerci…

Russian Error-Annotated Learner English Corpus: a Tool for Computer-Assisted Language Learning

Spelling Correction for Russian: A Comparative Study of Datasets and Methods

We develop a minimally-supervised model for spelling correction and evaluate its performance on three datasets annotated for spelling errors in Russian. The first corpus is a dataset of Russian social media data that was…

Russian Web Tables: A Public Corpus of Web Tables for Russian Language Based on Wikipedia

Corpora that contain tabular data such as WebTables are a vital resource for the academic community. Essentially, they are the backbone of any modern research in information management. They are used for various tasks of…