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Morphological Processing of Low-Resource Languages: Where We Are and What's Next ...
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Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ...
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Jump-Starting Item Parameters for Adaptive Language Tests ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.67/ Abstract: A challenge in designing high-stakes language assessments is calibrating the test item difficulties, either a priori or from limited pilot test data. While prior work has addressed `cold start' estimation of item difficulties without piloting, we devise a multi-task generalized linear model with BERT features to jump-start these estimates, rapidly improving their quality with as few as 500 test-takers and a small sample of item exposures (≈6 each) from a large item bank (≈4,000 items). Our joint model provides a principled way to compare test-taker proficiency, item difficulty, and language proficiency frameworks like the Common European Framework of Reference (CEFR). This also enables new item difficulty estimates without piloting them first, which in turn limits item exposure and thus enhances test security. Finally, using operational data from the Duolingo English Test, a high-stakes English proficiency test, we find that ...
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Keyword:
Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://underline.io/lecture/37951-jump-starting-item-parameters-for-adaptive-language-tests https://dx.doi.org/10.48448/srwk-pe73
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Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Predicting Declension Class from Form and Meaning
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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UniMorph 3.0: Universal Morphology
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In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
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The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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Modeling Color Terminology Across Thousands of Languages ...
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Marrying Universal Dependencies and Universal Morphology ...
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