Papers with language teaching
SchAman: Spell-Checking Resources and Benchmark for Endangered Languages from Amazonia (2022.aacl-short)
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Arturo Oncevay, Gerardo Cardoso, Carlo Alva, César Lara Ávila, Jovita Vásquez Balarezo, Saúl Escobar Rodríguez, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Juan López Bautista, Nimia Acho Rios, Remigio Zapata Cesareo, Héctor Erasmo Gómez Montoya, Roberto Zariquiey
| Challenge: | Spell-checking as a generation task requires large amount of data, which is not feasible for endangered languages such as the languages spoken in Peru. |
| Approach: | They propose to use augmented misspelling data to train neural spell-checking models for four endangered languages of Peru: Shipibo-Koniba, Asháninka, Yánesha, yine . |
| Outcome: | The proposed model achieves better scores in most of the errors and languages in the four indigenous languages of Peru: Shipibo-Koniba, Asháninka, Yánesha, yine. |
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning (2023.findings-emnlp)
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| Challenge: | Language teachers need to be accessible and have the necessary resources to create effective content for their students. |
| Approach: | They propose to extract grammar descriptions from a natural text corpus that answer questions about morphosyntax and semantics from lexical corpus. |
| Outcome: | The proposed method is applied to two Indian languages, Kannada and Marathi, which, unlike English, do not have well-developed resources for second language learning. |
Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions (2026.findings-acl)
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| Challenge: | Concept Tokens is a lightweight method that adds a special token to a pretrained LLM . we find that negating the hallucination token reduces hallucines and lowers precision . |
| Approach: | They propose a lightweight method that adds a new special token to a pretrained LLM and learns only its embedding from multiple natural language definitions of a target concept. |
| Outcome: | The proposed method can learn only its embedding from multiple definitions of a target concept . the study shows that it can improve hallucinations and recasting in closed-book questions . |
Towards Semantic Tagging for Irish (2024.lrec-main)
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| Challenge: | well annotated corpora have been shown to have great value in linguistic and non-linguistic research . minority languages suffer from fewer available language resources than majority languages . a new method for evaluation of semantic annotation is being developed for Irish . |
| Approach: | They propose to build a tool-set for semantic annotation of Irish using semantic tags . they propose to use a lexicon built from a variety of sources to evaluate the tool . |
| Outcome: | a new method for evaluation of semantic annotation has been developed for Irish . the proposed method has 90% lexical coverage and almost 80% accuracy . |