Papers by C. Anton Rytting

3 papers
Arabic Data Science Toolkit: An API for Arabic Language Feature Extraction (L18-1)

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Challenge: Data scientists unfamiliar with Arabic or natural language processing prefer statistical methods because they are language-independent.
Approach: They propose a framework for Arabic feature extraction that leverages Arabic-specific linguistic and stylistic features to enhance their systems.
Outcome: The Arabic Data Science Toolkit (ADST) is a framework for Arabic language feature extraction.
RU-ADEPT: Russian Anonymized Dataset with Eight Personality Traits (2022.lrec-1)

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Challenge: Social media has provided a platform for many individuals to express themselves naturally and publicly, but most of the work in this area has focused on English and other Western European languages.
Approach: They propose to use a Russian dataset to combine author trait data with social media content to find out how personality traits are manifested.
Outcome: The proposed dataset is the first to associate demographic and personality trait data with Russian-language social media content and to a limited extent, the first publicly-available dataset of personality traits to author content across multiple social media platforms.
Rapidly Piloting Real-time Linguistic Assistance for Simultaneous Interpreters with Untrained Bilingual Surrogates (2024.lrec-main)

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Challenge: Simultaneous interpretation is a cognitively taxing task, and even seasoned professionals benefit from real-time assistance.
Approach: They propose a simultaneous interpretation task that mimics the cognitive load of interpretation with crowdworker surrogates.
Outcome: The proposed task mimics the cognitive load of interpretation with crowdworker surrogates . the evaluation setup provides consistent results between expert and proxy participants .

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