AmericasNLP 2024 — accepted papers
AmericasNLP 2024 is the 2024 edition of the Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP), held in Mexico City, Mexico, June 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 28 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Mexico City, 
Mexico · 🗓 June 2024
Most cited papers
- A Concise Survey of OCR for Low-Resource Languages ↗Milind Agarwal, Antonios Anastasopoulos13 citations
- LLM-Assisted Rule Based Machine Translation for Low/No-Resource LanguagesJared Coleman, Bhaskar Krishnamachari, Ruben Rosales et al.8 citations · our summary
- Translation systems for low-resource Colombian Indigenous languages, a first step towards cultural preservation ↗Juan Prieto, Cristian Martinez, Melissa Robles et al.7 citations
- Experiments in Mamba Sequence Modeling and NLLB-200 Fine-Tuning for Low Resource Multilingual Machine Translation ↗Dan DeGenaro, Tom Lupicki5 citations
- Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh's Submission to AmericasNLP 2024 Translation Task ↗Vivek Iyer, Bhavitvya Malik, Wenhao Zhu et al.5 citations
- Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages ↗Abteen Ebrahimi, Ona de Gibert, Raul Vazquez et al.5 citations
- Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages ↗Justin Vasselli, Arturo Martínez Peguero, Junehwan Sung et al.4 citations
- Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages ↗David Ifeoluwa Adelani, A. Seza Doğruöz, André Coneglian et al.3 citations
- Advancing NMT for Indigenous Languages: A Case Study on Yucatec Mayan and Chol ↗Julio Rangel, Norio Kobayashi1 citation
- Awajun-OP: Multi-domain dataset for Spanish–Awajun Machine Translation ↗Oscar Moreno, Yanua Atamain, Arturo Oncevay1 citation
All accepted papers (28)
- A Concise Survey of OCR for Low-Resource Languages ↗Milind Agarwal, Antonios Anastasopoulos13 citations
- LLM-Assisted Rule Based Machine Translation for Low/No-Resource LanguagesJared Coleman, Bhaskar Krishnamachari, Ruben Rosales et al.8 citations · our summary
- Translation systems for low-resource Colombian Indigenous languages, a first step towards cultural preservation ↗Juan Prieto, Cristian Martinez, Melissa Robles et al.7 citations
- Experiments in Mamba Sequence Modeling and NLLB-200 Fine-Tuning for Low Resource Multilingual Machine Translation ↗Dan DeGenaro, Tom Lupicki5 citations
- Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh's Submission to AmericasNLP 2024 Translation Task ↗Vivek Iyer, Bhavitvya Malik, Wenhao Zhu et al.5 citations
- Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages ↗Abteen Ebrahimi, Ona de Gibert, Raul Vazquez et al.5 citations
- Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages ↗Justin Vasselli, Arturo Martínez Peguero, Junehwan Sung et al.4 citations
- Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages ↗David Ifeoluwa Adelani, A. Seza Doğruöz, André Coneglian et al.3 citations
- Advancing NMT for Indigenous Languages: A Case Study on Yucatec Mayan and Chol ↗Julio Rangel, Norio Kobayashi1 citation
- Awajun-OP: Multi-domain dataset for Spanish–Awajun Machine Translation ↗Oscar Moreno, Yanua Atamain, Arturo Oncevay1 citation
- System Description of the NordicsAlps Submission to the AmericasNLP 2024 Machine Translation Shared Task ↗Joseph Attieh, Zachary William Hopton, Yves Scherrer et al.1 citation
- Unlocking Knowledge with OCR-Driven Document Digitization for Peruvian Indigenous Languages ↗Shadya Sanchez Carrera, Roberto Zariquiey, Arturo Oncevay1 citation
- Word-level prediction in Plains Cree: First steps ↗Olga Kriukova, Antti Arppe1 citation
- A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation ↗Jim Su, Justin Ho, George Broadwell et al.
- A New Benchmark for Kalaallisut-Danish Neural Machine Translation ↗Ross Deans Kristensen-McLachlan, Johanne Sofie Krog Nedergård
- Analyzing Finetuned Vision Models for Mixtec Codex Interpretation ↗Alexander Webber, Zachary Sayers, Amy Wu et al.
- BSC Submission to the AmericasNLP 2024 Shared Task ↗Javier Garcia Gilabert, Aleix Sant, Carlos Escolano et al.
- Enenlhet as a case-study to investigate ASR model generalizability for language documentation ↗Éric Le Ferrand, Raina Heaton, Emily Prud'hommeaux
- Findings of the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages ↗Luis Chiruzzo, Pavel Denisov, Alejandro Molina-Villegas et al.
- From Field Linguistics to NLP: Creating a curated dataset in Amuzgo language ↗Antonio Reyes, Hamlet Antonio García
- JGU Mainz's Submission to the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages ↗Minh Duc Bui, Katharina von der Wense
- Morphological Tagging in Bribri Using Universal Dependency Features ↗Jessica Karson, Rolando Coto-Solano
- NLP for Language Documentation: Two Reasons for the Gap between Theory and Practice ↗Luke Gessler, Katharina von der Wense
- On the Robustness of Neural Models for Full Sentence Transformation ↗Michael Ginn, Ali Marashian, Bhargav Shandilya et al.
See all 28 papers in AmericasNLP 2024 — accepted papers →
Papers with our summary in our library (1)
Top topics
Machine translation (1)Low-resource languages (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top institutions
United StatesThis page in Markdown → https://md.research.elamur.ai/free/en/venues/americasnlp/2024/