Papers by Ronja Laarmann-Quante
LeSpell - A Multi-Lingual Benchmark Corpus of Spelling Errors to Develop Spellchecking Methods for Learner Language (2022.lrec-1)
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| Challenge: | Existing spellcheckers do not work well with learner data. |
| Approach: | They propose a multi-lingual evaluation data set of spelling mistakes in context that is highly customizable for the DKPro architecture. |
| Outcome: | The proposed spellchecker improves performance in many settings and can be customized to meet learners' needs. |
Automatic Extraction of Nominal Phrases from German Learner Texts of Different Proficiency Levels (2024.lrec-main)
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| Challenge: | a pilot study has found that inflecting determiners and adjectives correctly is a challenge for learners of German. |
| Approach: | They propose to use dependency parsing to extract nouns, grammatical heads and dependents that have to agree with the noun in German. |
| Outcome: | The proposed method performs well on CEFR levels A1-B1 but not level B2 texts. |