Services for text simplification and analysis
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LemmatizationText SimplificationText SummarizationSimilar Papers 제목 키워드 기반
MCTS: A Multi-Reference Chinese Text Simplification Dataset
Text simplification aims to make the text easier to understand by applying rewriting transformations. There has been very little research on Chinese text simplification for a long time. The lack of generic evaluation dat…
Machine TranslationText SimplificationSimple is not Enough: Document-level Text Simplification using Readability and Coherence
In this paper, we present the SimDoc system, a simplification model considering simplicity, readability, and discourse aspects, such as coherence. In the past decade, the progress of the Text Simplification (TS) field ha…
SentenceText SimplificationA multi-lingual and cross-domain analysis of features for text simplification
In text simplification and readability research, several features have been proposed to estimate or simplify a complex text, e.g., readability scores, sentence length, or proportion of POS tags. These features are howeve…
POSSentenceText SimplificationOUNLP at TSAR 2025 Shared Task: Multi-Round Text Simplifier via Code Generation
This paper describes the OUNLP system submitted to the TSAR-2025 Shared Task (Alva-Manchego et al., 2025), designed for readability-controlled text simplification using LLM-prompting-based generation. Based on the analys…
Text SimplificationCode GenerationSiTSE: Sinhala Text Simplification Dataset and Evaluation
Text Simplification is a task that has been minimally explored for low-resource languages. Consequently, there are only a few manually curated datasets. In this paper, we present a human curated sentence-level text simpl…
SentenceText SimplificationTransfer Learning