The quality of Neural Machine Translation (NMT) has been shown to significantly degrade
when confronted with source-side noise. We present the first large-scale study of state-of-the …

Both grammatical error correction and text style transfer can be viewed as monolingual
sequence-to-sequence transformation tasks, but the scarcity of directly annotated data for …

In this paper, we describe the Icelandic Error Corpus, a manually annotated error corpus for
Icelandic. The Icelandic Error Corpus consists of texts from three sources: student essays …

Intent detection is one of the main tasks of a dialogue system. In this paper we present our
intent detection system that is based on FastText word embeddings and neural network …

A lack of datasets for spelling and grammatical error correction in Icelandic, along with
language-specific issues, has caused a dearth of spell and grammar checking systems for …

The paper reports on the recent work in the development of a grammar checker for Latvian.
The grammar checker is using extended context free grammar (CFG) formalism for …

This paper reports on the development of a grammar error labeling system for the Latvian
language. We choose to label six error types that are crucial for understanding a text as …

This paper is a work-in-progress report on error annotation in the Lithuanian Learner Corpus
(LLC), which has been developed using the TEITOK environment. The LLC is the first …

We present the results of the Latvian IT Competence Centre (IT CC) in developing several
essential language technologies and applications. 11 language technology projects have …

Learner corpora are gaining popularity in the Baltic States as well as elsewhere in the world.
The aim of the article is to discuss what kinds of annotation have been used in learner …