arXiv:1803.00188
공식 코드 · Papers with Code
XNMT: The eXtensible Neural Machine Translation Toolkit
원문 초록
This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing. XNMT is available open-source at https://github.com/neulab/xnmt
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KIT's Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization
Building a Functional Machine Translation Corpus for Kpelle
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
Word Level Timestamp Generation for Automatic Speech Recognition and Translation
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