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RALS: Resources and Baselines for Romanian Automatic Lexical Simplification

Authors

Do you know Fabian Anghel?You can claim authorship or link another user.Do you know Petru Theodor Cristea?You can claim authorship or link another user.Do you know Claudiu Creanga?You can claim authorship or link another user.Do you know Sergiu Nisioi?You can claim authorship or link another user.

Abstract

We introduce the first dataset that jointly covers both lexical complexity prediction (LCP) annotations and lexical simplification (LS) for Romanian, along with a comparison of lexical simplification approaches. We propose a methodology for ordering simplification suggestions using a pairwise ranking approximation method, arranging candidates from simple to complex based on a separate set of human judgments. In addition, we provide human lexical complexity annotations for 3,921 word samples in context. Finally, we explore several novel pipelines for complexity prediction and simplification and present the first text simplification system for Romanian.

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