Papers with lexical complexity
BengaliLCP: A Dataset for Lexical Complexity Prediction in the Bengali Texts (2024.lrec-main)
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| Challenge: | Lexical Complexity Prediction (LCP) is a task for predicting the complexity score of a word or phrase based on its context. |
| Approach: | They propose a deep neural approach to predict lexical complexity of Bengali tokens using an annotated dataset. |
| Outcome: | The proposed neural approach outperforms state-of-the-art models for Bengali language. |
ALEXSIS: A Dataset for Lexical Simplification in Spanish (2022.lrec-1)
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| Challenge: | Lexical Simplification is the process of replacing difficult words with easier synonyms while preserving the original information and meaning. |
| Approach: | They introduce ALEXSIS, a dataset for Lexical Simplification, and use it to benchmark Lexical simplification systems in Spanish. |
| Outcome: | The proposed dataset compares three approaches to Lexical Simplification in Spanish and a previous dataset for English. |
EXPRES Corpus for A Field-specific Automated Exploratory Study of L2 English Expert Scientific Writing (2022.lrec-1)
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| Challenge: | Developing proficient writing skills in English is a debated topic since the 1990s . RAs are an academic genre that hold a central place in academia . |
| Approach: | They propose to use a linguistic assessment model to assess the linguistic profile of research articles written in L2 English. |
| Outcome: | The proposed model can help scholars adapt to the writing norms of their communities of practice. |
Detecting Multiword Expression Type Helps Lexical Complexity Assessment (2020.lrec-1)
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| Challenge: | Multiword expressions (MWEs) represent lexemes that should be treated as single lexical units due to their idiosyncratic nature. |
| Approach: | They re-annotate a complex word identification shared task 2018 dataset . they find that a lexical complexity assessment system benefits from the information . |
| Outcome: | The proposed dataset provides valuable information for the text simplification community. |
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary? (2025.coling-main)
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Adam Nohejl, Frederikus Hudi, Eunike Andriani Kardinata, Shintaro Ozaki, Maria Angelica Riera Machin, Hongyu Sun, Justin Vasselli, Taro Watanabe
| Challenge: | Word frequency is a key variable in psycholinguistics, useful for modeling human familiarity with words . a recent study shows that frequency from YouTube subtitles is comparable to and often better than the best available resources. |
| Approach: | They use YouTube subtitles to construct frequency norms for five languages . they find they are comparable to and often better than the best currently available resources . |
| Outcome: | The proposed method improves on the best currently available resources for Chinese, English, Indonesian, Japanese, and Spanish. |
Theory of Mind in Freely-Told Children’s Narratives: A Classification Approach (2023.findings-acl)
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| Challenge: | Language and Theory of Mind (ToM) competences are often studied with younger children and standardized tests, but as both are social competences, data and methods with higher ecological validity are critical. |
| Approach: | They leveraged a corpus of 442 freely-told stories by Dutch children aged 4-12 to study language and ToM with NLP-tools. |
| Outcome: | The proposed method is robust relative to the complexity of the task for humans and is consistent with previous studies. |