Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity
Fuente:
arXiv
Saved in:
| Main Authors: | Khiu, Eric, Toossi, Hasti, Anugraha, David, Liu, Jinyu, Li, Jiaxu, Flores, Juan Armando Parra, Roman, Leandro Acros, Doğruöz, A. Seza, Lee, En-Shiun Annie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base
by: Toossi, Hasti, et al.
Published: (2024)
by: Toossi, Hasti, et al.
Published: (2024)
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
by: Khan, Aditya, et al.
Published: (2024)
by: Khan, Aditya, et al.
Published: (2024)
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation
by: Thillainathan, Sarubi, et al.
Published: (2025)
by: Thillainathan, Sarubi, et al.
Published: (2025)
Rethinking what Matters: Effective and Robust Multilingual Realignment for Low-Resource Languages
by: Nguyen, Quang Phuoc, et al.
Published: (2025)
by: Nguyen, Quang Phuoc, et al.
Published: (2025)
Leveraging LLMs for Translating and Classifying Mental Health Data
by: Skianis, Konstantinos, et al.
Published: (2024)
by: Skianis, Konstantinos, et al.
Published: (2024)
Readability Measures and Automatic Text Simplification: In the Search of a Construct
by: Cardon, Rémi, et al.
Published: (2025)
by: Cardon, Rémi, et al.
Published: (2025)
Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
by: Shipton, Mason, et al.
Published: (2025)
by: Shipton, Mason, et al.
Published: (2025)
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
by: Su, Tong, et al.
Published: (2024)
by: Su, Tong, et al.
Published: (2024)
Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+
by: Ng, York Hay, et al.
Published: (2025)
by: Ng, York Hay, et al.
Published: (2025)
TranslationCorrect: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance
by: Wasti, Syed Mekael, et al.
Published: (2025)
by: Wasti, Syed Mekael, et al.
Published: (2025)
Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges
by: Skianis, Konstantinos, et al.
Published: (2024)
by: Skianis, Konstantinos, et al.
Published: (2024)
A Typology of Synthetic Datasets for Dialogue Processing in Clinical Contexts
by: Bedrick, Steven, et al.
Published: (2025)
by: Bedrick, Steven, et al.
Published: (2025)
Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources
by: De Baer, Joachim, et al.
Published: (2025)
by: De Baer, Joachim, et al.
Published: (2025)
M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models
by: Anugraha, David, et al.
Published: (2024)
by: Anugraha, David, et al.
Published: (2024)
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
by: Adelani, David Ifeoluwa, et al.
Published: (2024)
by: Adelani, David Ifeoluwa, et al.
Published: (2024)
Who is bragging more online? A large scale analysis of bragging in social media
by: Jin, Mali, et al.
Published: (2024)
by: Jin, Mali, et al.
Published: (2024)
Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs
by: Adelani, David Ifeoluwa, et al.
Published: (2024)
by: Adelani, David Ifeoluwa, et al.
Published: (2024)
mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation
by: Ranathungaa, Surangika, et al.
Published: (2024)
by: Ranathungaa, Surangika, et al.
Published: (2024)
Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems
by: Lu, Bo-Han, et al.
Published: (2024)
by: Lu, Bo-Han, et al.
Published: (2024)
In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
by: Zebaze, Armel, et al.
Published: (2024)
by: Zebaze, Armel, et al.
Published: (2024)
Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios
by: Gurav, Namrata Patil, et al.
Published: (2026)
by: Gurav, Namrata Patil, et al.
Published: (2026)
Less is More: The Effectiveness of Compact Typological Language Representations
by: Ng, York Hay, et al.
Published: (2025)
by: Ng, York Hay, et al.
Published: (2025)
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation
by: Marashian, Ali, et al.
Published: (2024)
by: Marashian, Ali, et al.
Published: (2024)
Improving Low-Resource Machine Translation via Cross-Linguistic Transfer from Typologically Similar High-Resource Languages
by: Boujkian, Saughmon
Published: (2024)
by: Boujkian, Saughmon
Published: (2024)
Pivot Language for Low-Resource Machine Translation
by: Talwar, Abhimanyu, et al.
Published: (2025)
by: Talwar, Abhimanyu, et al.
Published: (2025)
Dialectal and Low-Resource Machine Translation for Aromanian
by: Jerpelea, Alexandru-Iulius, et al.
Published: (2024)
by: Jerpelea, Alexandru-Iulius, et al.
Published: (2024)
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation
by: Zhang, Luke, et al.
Published: (2026)
by: Zhang, Luke, et al.
Published: (2026)
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
by: Anugraha, David, et al.
Published: (2024)
by: Anugraha, David, et al.
Published: (2024)
Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation
by: Kyslyi, Roman, et al.
Published: (2025)
by: Kyslyi, Roman, et al.
Published: (2025)
Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues
by: Kim, Eunsu, et al.
Published: (2025)
by: Kim, Eunsu, et al.
Published: (2025)
\textsc{CantoNLU}: A benchmark for Cantonese natural language understanding
by: Min, Junghyun, et al.
Published: (2025)
by: Min, Junghyun, et al.
Published: (2025)
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
by: Li, Rumeng, et al.
Published: (2019)
by: Li, Rumeng, et al.
Published: (2019)
Compensating for Data with Reasoning: Low-Resource Machine Translation with LLMs
by: Frontull, Samuel, et al.
Published: (2025)
by: Frontull, Samuel, et al.
Published: (2025)
Reflective Translation: Improving Low-Resource Machine Translation via Structured Self-Reflection
by: Cheng, Nicholas
Published: (2026)
by: Cheng, Nicholas
Published: (2026)
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
by: Chen, Danlu, et al.
Published: (2026)
by: Chen, Danlu, et al.
Published: (2026)
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
by: Salim, Luis Frentzen, et al.
Published: (2026)
by: Salim, Luis Frentzen, et al.
Published: (2026)
Overview of MWE history, challenges, and horizons: standing at the 20th anniversary of the MWE workshop series via MWE-UD2024
by: Han, Lifeng, et al.
Published: (2024)
by: Han, Lifeng, et al.
Published: (2024)
AlignFreeze: Navigating the Impact of Realignment on the Layers of Multilingual Models Across Diverse Languages
by: Bakos, Steve, et al.
Published: (2025)
by: Bakos, Steve, et al.
Published: (2025)
Similar Items
-
A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base
by: Toossi, Hasti, et al.
Published: (2024) -
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
by: Khan, Aditya, et al.
Published: (2024) -
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation
by: Thillainathan, Sarubi, et al.
Published: (2025) -
Rethinking what Matters: Effective and Robust Multilingual Realignment for Low-Resource Languages
by: Nguyen, Quang Phuoc, et al.
Published: (2025) -
Leveraging LLMs for Translating and Classifying Mental Health Data
by: Skianis, Konstantinos, et al.
Published: (2024)