most citedR-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation

2 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2024

Context-aware and Style-related Incremental Decoding framework for Discourse-Level Literary Translation

Yuanchang Luo, Jiaxin Guo, Daimeng Wei +7

This report outlines our approach for the WMT24 Discourse-Level Literary Translation Task, focusing on the Chinese-English language pair in the Constrained Track. Translating liter…

cs.CL2024

Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain

Yuanchang Luo, Zhanglin Wu, Daimeng Wei +9

This article introduces the submission status of the Translation into Low-Resource Languages of Spain task at (WMT 2024) by Huawei Translation Service Center (HW-TSC). We participa…

cs.CL20241 cited

Exploring the traditional NMT model and Large Language Model for chat translation

Jinlong Yang, Hengchao Shang, Daimeng Wei +10

This paper describes the submissions of Huawei Translation Services Center(HW-TSC) to WMT24 chat translation shared task on EnglishGermany (en-de) bidirection. The…

cs.CL2024

Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning

Bin Wei, Jiawei Zhen, Zongyao Li +10

This paper introduces the submission by Huawei Translation Center (HW-TSC) to the WMT24 Indian Languages Machine Translation (MT) Shared Task. To develop a reliable machine transla…

cs.AI2024

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…

cs.SD2024

LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation

Shaojun Li, Hengchao Shang, Daimeng Wei +5

Recent advancements in integrating speech information into large language models (LLMs) have significantly improved automatic speech recognition (ASR) accuracy. However, existing m…