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        <title>RALS: Resources and Baselines for Romanian Automatic Lexical Simplification</title>
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    <name type="personal">
        <namePart type="given">Fabian</namePart>
        <namePart type="family">Anghel</namePart>
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    <name type="personal">
        <namePart type="given">Cristea</namePart>
        <namePart type="family">Petru-Theodor</namePart>
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        <namePart type="given">Claudiu</namePart>
        <namePart type="family">Creanga</namePart>
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    <name type="personal">
        <namePart type="given">Sergiu</namePart>
        <namePart type="family">Nisioi</namePart>
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            <title>Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing</title>
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        <name type="personal">
            <namePart type="given">Christos</namePart>
            <namePart type="family">Christodoulopoulos</namePart>
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        <name type="personal">
            <namePart type="given">Tanmoy</namePart>
            <namePart type="family">Chakraborty</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Carolyn</namePart>
            <namePart type="family">Rose</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Violet</namePart>
            <namePart type="family">Peng</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/2025.emnlp-main.1603</identifier>
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%0 Conference Proceedings
%T RALS: Resources and Baselines for Romanian Automatic Lexical Simplification
%A Anghel, Fabian
%A Petru-Theodor, Cristea
%A Creanga, Claudiu
%A Nisioi, Sergiu
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F anghel-etal-2025-rals
%X 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.
%R 10.18653/v1/2025.emnlp-main.1603
%U https://aclanthology.org/2025.emnlp-main.1603/
%U https://doi.org/10.18653/v1/2025.emnlp-main.1603
%P 31481-31492

Markdown (Informal)

[RALS: Resources and Baselines for Romanian Automatic Lexical Simplification](https://aclanthology.org/2025.emnlp-main.1603/) (Anghel et al., EMNLP 2025)

• RALS: Resources and Baselines for Romanian Automatic Lexical Simplification (Anghel et al., EMNLP 2025)

ACL

• Fabian Anghel, Cristea Petru-Theodor, Claudiu Creanga, and Sergiu Nisioi. 2025. RALS: Resources and Baselines for Romanian Automatic Lexical Simplification. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 31481–31492, Suzhou, China. Association for Computational Linguistics.