JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction

no code implementations • SEMEVAL 2021 • Chaya Liebeskind, Otniel Elkayam, Shmuel Liebeskind

In this paper, we present our contribution in SemEval-2021 Task 1: Lexical Complexity Prediction, where we integrate linguistic, statistical, and semantic properties of the target word and its context as features within a Machine Learning (ML) framework for predicting lexical complexity.

Lexical Complexity Prediction Word Embeddings

Automatic Construction of Aramaic-Hebrew Translation Lexicon

no code implementations • LREC 2020 • Chaya Liebeskind, Shmuel Liebeskind

First, we generate an initial translation lexicon by a state-of-the-art word alignment translation model.

Sentence Translation +1