arXiv:1706.00457
공식 코드 · Papers with Code
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
원문 초록
In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures. nmtpy decouples the specification of a network from the training and inference utilities to simplify the addition of a new architecture and reduce the amount of boilerplate code to be written. nmtpy has been used for LIUM's top-ranked submissions to WMT Multimodal Machine Translation and News Translation tasks in 2016 and 2017.
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CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Multimodal Machine Translation with Visual Scene Graph Pruning
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
Gender Bias in English-to-Greek Machine Translation
토론
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