7 papers
Tag-Aware Structured Text Translation: Towards a Systematic Understanding
Zhanglin Wu, Hengchao Shang, Daimeng Wei +5
Internet texts are replete with format tags that carry structural, semantic, and functional meaning. Current large language model (LLM)-based translation systems struggle to balanc…
Global-Local Dual Perception for MLLMs in High-Resolution Text-Rich Image Translation
Junxin Lu, Tengfei Song, Zhanglin Wu +9
Text Image Machine Translation (TIMT) aims to translate text embedded in images in the source-language into target-language, requiring synergistic integration of visual perception…
Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models
Zhanglin Wu, Tengfei Song, Ning Xie +8
The rapid advancement of large vision-language models (LVLMs) has significantly propelled applications in document understanding, particularly in optical character recognition (OCR…
DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model
Zhanglin Wu, Tengfei Song, Ning Xie +6
This paper presents the technical solution proposed by Huawei Translation Service Center (HW-TSC) for the "End-to-End Document Image Machine Translation for Complex Layouts" compet…
HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks
Zhanglin Wu, Yuanchang Luo, Daimeng Wei +9
This paper presents the submission of Huawei Translation Services Center (HW-TSC) to machine translation tasks of the 20th China Conference on Machine Translation (CCMT 2024). We p…
Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task
Zhanglin Wu, Daimeng Wei, Zongyao Li +7
This paper presents the submission of Huawei Translate Services Center (HW-TSC) to the WMT24 general machine translation (MT) shared task, where we participate in the English to Ch…
Collective Human Opinions in Semantic Textual Similarity
Yuxia Wang, Shimin Tao, Ning Xie +3
Despite the subjective nature of semantic textual similarity (STS) and pervasive disagreements in STS annotation, existing benchmarks have used averaged human ratings as the gold s…