Papers with language learner

5 papers
Towards Multi-Modal Text-Image Retrieval to improve Human Reading (2021.naacl-srw)

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Challenge: In primary school, children's books, as well as in modern language learning apps, multi-modal learning strategies like illustrations of terms and phrases are used to support reading comprehension.
Approach: They propose to use multi-modal transformers to train multi-dimensional models on text-image retrieval to support a user's reading comprehension of arbitrary text.
Outcome: The proposed model performs poorly because of the short and relatively simple textual data that the current models are trained with.
Towards Better Utilization of Multi-Reference Training Data for Chinese Grammatical Error Correction (2024.findings-acl)

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Challenge: a high proportion of Chinese training data is multi-referenced for the grammatical error correction task . however, there are many ways to correct an erroneous input sentence . a systematic study on multi-referencing training data has been proposed .
Approach: They propose two new approaches and a simple two-stage training strategy to better utilize multi-reference training data.
Outcome: The proposed methods show that Chinese training data contain multiple references.
Embedding Hallucination for Few-shot Language Fine-tuning (2022.naacl-main)

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Challenge: Existing methods for fine-tuning pre-trained language models can cause severe over-fitting.
Approach: They propose an Embedding Hallucination method which generates auxiliary embedding-label pairs to expand the fine-tuning dataset.
Outcome: The proposed method outperforms current fine-tuning methods in a wide range of language tasks.
An SLA Corpus Annotated with Pedagogically Relevant Grammatical Structures (L18-1)

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Challenge: a study using a framework to evaluate a language learner's proficiency in a second language aims to examine the production of learners with pedagogically relevant grammatical structures .
Approach: They annotated texts produced by language learners with grammatical structures . they found that learners from different proficiency levels use pedagogically relevant structures compared to those of already certified language learners .
Outcome: The annotated resource SGATe analyzes texts produced by language learners with grammatical structures . structure evolution along levels and level in which they are used the most was studied .
Embodied Language Learning: Opportunities, Challenges, and Future Directions (2024.findings-acl)

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Challenge: embodied language learning is a form of language understanding where the language learner is situated in the world, perceives it, and interacts with it.
Approach: They propose to use a concept of World Scopes to measure progress in language understanding research.
Outcome: The proposed framework identifies gaps and suggests future directions for language understanding research.

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