Towards SMT-Assisted Error Annotation of Learner Corpora

We present the results of prototypical experiments conducted with the goal of designing a machine translation (MT) based system that assists the annotators of learner corpora in performing orthographic error annotation. When an annotator marks a span of text as erroneous, the system suggests a correction for the marked error. The presented experiments rely on word-level and character-level Statistical Machine Translation (SMT) systems.Presentiamo i risultati degli esperimenti prototipici condotti con lo scopo di creare un sistema basato sulla traduzione automatica (MT) che assista gli annotatori dei corpora degli apprendenti di lingue durante il processo di annotazione degli errori ortografici. Quando un annotatore segna un segmento di testo come errato il sistema suggerisce una correzione dell’errore segnato. Gli esperimenti presentati utilizzano dei sistemi statistici di traduzione automatica (SMT) al livello di parole e di caratteri

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges