We present an approach to improve the selection of complex words for automatic text simplification, addressing the need of L2 learners to take into account their native language during simplification. In particular, we develop a methodology that automatically identifies ‘difficult’ terms (i.e. false friends) for L2 learners in order to simplify them. We evaluate not only the quality of the detected false friends but also the impact of this methodology on text simplification compared with a standard frequency-based approach.

Towards Personalised Simplification based on L2 Learners' Native Language

Alessio Palmero Aprosio
;
Stefano Menini
;
Sara Tonelli
;
Leonardo Herzog
2018

Abstract

We present an approach to improve the selection of complex words for automatic text simplification, addressing the need of L2 learners to take into account their native language during simplification. In particular, we develop a methodology that automatically identifies ‘difficult’ terms (i.e. false friends) for L2 learners in order to simplify them. We evaluate not only the quality of the detected false friends but also the impact of this methodology on text simplification compared with a standard frequency-based approach.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/320598
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