LoResMT 2024 — accepted papers
LoResMT 2024 is the 2024 edition of the Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT), held in Bangkok, Thailand, August 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 20 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Bangkok, Thailand · 🗓 August 2024
Most cited papers
- Linguistically Informed Transformers for Text to American Sign Language Translation ↗Abhishek Bharadwaj Varanasi, Manjira Sinha, Tirthankar Dasgupta et al.8 citations
- Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study ↗Aniruddha Roy, Pretam Ray, Ayush Maheshwari et al.7 citations
- Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models ↗Gyutae Park, Seojin Hwang, Hwanhee Lee5 citations
- Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages ↗Zhuoyuan Mao, Yen Yu5 citations
- Learning-From-Mistakes Prompting for Indigenous Language Translation ↗You Cheng Liao, Chen-Jui Yu, Chi-Yi Lin et al.4 citations
- Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin ↗Samuel Frontull, Georg Moser4 citations
- Benchmarking Low-Resource Machine Translation Systems ↗Ana Alexandra Morim da Silva, Nikit Srivastava, Tatiana Moteu Ngoli et al.3 citations
- Challenges in Urdu Machine Translation ↗Abdul Basit, Abdul Hameed Azeemi, Agha Ali Raza3 citations
- Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation ↗Tiia Sildam, Andra Velve, Tanel Alumäe2 citations
- KpopMT: Translation Dataset with Terminology for Kpop Fandom ↗JiWoo Kim, Yunsu Kim, JinYeong Bak2 citations
All accepted papers (20)
- Linguistically Informed Transformers for Text to American Sign Language Translation ↗Abhishek Bharadwaj Varanasi, Manjira Sinha, Tirthankar Dasgupta et al.8 citations
- Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study ↗Aniruddha Roy, Pretam Ray, Ayush Maheshwari et al.7 citations
- Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models ↗Gyutae Park, Seojin Hwang, Hwanhee Lee5 citations
- Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages ↗Zhuoyuan Mao, Yen Yu5 citations
- Learning-From-Mistakes Prompting for Indigenous Language Translation ↗You Cheng Liao, Chen-Jui Yu, Chi-Yi Lin et al.4 citations
- Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin ↗Samuel Frontull, Georg Moser4 citations
- Benchmarking Low-Resource Machine Translation Systems ↗Ana Alexandra Morim da Silva, Nikit Srivastava, Tatiana Moteu Ngoli et al.3 citations
- Challenges in Urdu Machine Translation ↗Abdul Basit, Abdul Hameed Azeemi, Agha Ali Raza3 citations
- Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation ↗Tiia Sildam, Andra Velve, Tanel Alumäe2 citations
- KpopMT: Translation Dataset with Terminology for Kpop Fandom ↗JiWoo Kim, Yunsu Kim, JinYeong Bak2 citations
- AGE: Amharic, Ge'ez and English Parallel DatasetHenok Biadglign Ademtew, Mikiyas Girma Birbo1 citation · our summary
- Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme ↗Soheila Behrooznia, Ebrahim Ansari, Zdenek Zabokrtsky1 citation
- Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation ↗Khanh-Tung Tran, Barry O'Sullivan, Hoang Nguyen1 citation
- Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English ↗King Yiu Suen, Rudolf Chow, Albert Y.S. Lam1 citation
- Rosetta Balcanica: Deriving a “Gold Standard” Neural Machine Translation (NMT) Parallel Dataset from High-Fidelity Resources for Western Balkan Languages ↗Edmon Begoli, Maria Mahbub, Sudarshan Srinivasan1 citation
- Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages ↗Vitaly Protasov, Elisei Stakovskii, Ekaterina Voloshina et al.1 citation
- Adopting Ensemble Learning for Cross-lingual Classification of Crisis-related Text On Social Media ↗Shareefa Al Amer, Mark Lee, Phillip Smith
- HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewItai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai et al.our summary
- Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models? ↗Antoine Cadotte, Nathalie André, Fatiha Sadat
- Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for MalteseKurt Abela, Kurt Micallef, Marc Tanti et al.our summary
Papers with our summary in our library (3)
- AGE: Amharic, Ge'ez and English Parallel DatasetWorkshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Henok Biadglign Ademtew, Mikiyas Girma Birbo2024 · 4 citations
- Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for MalteseWorkshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Kurt Abela, Kurt Micallef, Marc Tanti, et al.2024 · 1 citation
- HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewItai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai, et al.2024
Top topics
Semitic languages (3)Machine translation (2)Summarization (1)Hebrew & Aramaic (1)Tokenization & segmentation (1)English (1)Modern Hebrew (1)
Fields
Arts and Humanities (3)Computer Science (3)
Top authors
🧑🔬Henok Biadglign Ademtew1 work here · 4 citations🧑🔬Claudia Borg1 work here · 1 citation🧑🔬Kurt Abela1 work here · 1 citation🧑🔬Kurt Micallef1 work here · 1 citation🧑🔬Marc Tanti1 work here · 1 citation🧑🔬Asaf Achi Mordechai1 work here🧑🔬Itai Mondshine1 work here🧑🔬Reut Tsarfaty1 work here🧑🔬Tzuf Paz-Argaman1 work here
Top institutions
🎓Bar-Ilan UniversityRamat Gan ·
Israel1 work here🎓Maharishi International UniversityFairfield ·
United States1 work here🎓University of MaltaMsida ·
Malta1 work here
This page in Markdown → https://md.research.elamur.ai/free/en/venues/loresmt/2024/