LIG System for WMT13 QE Task: Investigating the Usefulness of Features in Word Confidence Estimation for MT

Investigating the Usefulness of Generalized Word Representations in SMT

Complex Word Identification Based on Frequency in a Learner Corpus

We introduce the TMU systems for the Complex Word Identification (CWI) Shared Task 2018. TMU systems use random forest classifiers and regressors whose features are the number of characters, the number of words, and the …

Predicting Second Language Learner Successes and Mistakes by Means of Conjunctive Features

This paper describes the system developed by the Centre for English Corpus Linguistics for the 2018 Duolingo SLAM challenge. It aimed at predicting the successes and mistakes of second language learners on each of the wo…

SB@GU at the Complex Word Identification 2018 Shared Task

In this paper, we describe our experiments for the Shared Task on Complex Word Identification (CWI) 2018 (Yimam et al., 2018), hosted by the 13th Workshop on Innovative Use of NLP for Building Educational Applications (B…

GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter

This paper describes the GSI-UPM system for SemEval-2019 Task 5, which tackles multilingual detection of hate speech on Twitter. The main contribution of the paper is the use of a method based on word embeddings and sema…