Rule-based Surface Realization of Romanian Weak Pronouns

Due to its reliance on context and intricate grammatical rules, the Romanian weak pronoun system presents a challenge not only for language learners – both native and non-native speakers – but also for linguistic description and computational processing. The present work addresses the challenges of Romanian weak pronouns from a computational processing perspective. Accordingly, it has three main goals: (1) to present the implementation of a rule-based model for generating contextually accurate surface forms of Romanian weak pronouns, (2) to describe the compilation of a database of relevant inputs for testing surface realization, and (3) to test the effectiveness of the model. This serves as a proof of concept, demonstrating both the transparency and the effectiveness of the model when based on an appropriate linguistic description.

Publication Details

Journal
DSpace repository (University of Tartu)
Published
2025-02-17
Primary Topic
Natural Language Processing Techniques
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article
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article

Rule-based Surface Realization of Romanian Weak Pronouns

DSpace repository (University of Tartu)
Natural Language Processing Techniques
article

Rule-based Surface Realization of Romanian Weak Pronouns

article en

Abstract

Due to its reliance on context and intricate grammatical rules, the Romanian weak pronoun system presents a challenge not only for language learners – both native and non-native speakers – but also for linguistic description and computational processing. The present work addresses the challenges of Romanian weak pronouns from a computational processing perspective. Accordingly, it has three main goals: (1) to present the implementation of a rule-based model for generating contextually accurate surface forms of Romanian weak pronouns, (2) to describe the compilation of a database of relevant inputs for testing surface realization, and (3) to test the effectiveness of the model. This serves as a proof of concept, demonstrating both the transparency and the effectiveness of the model when based on an appropriate linguistic description.

DSpace repository (University of Tartu)
Quality Education
Openalex Percentile: Top 72%
Natural Language Processing Techniques
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Rule-based Surface Realization of Romanian Weak Pronouns · DSpace repository (University of Tartu) (2025) | TGRS Research Map | TGRS