A transformer, initialized with cross-lingual language model weights, is fine-tuned exclusively on monolingual data of the target language by jointly learning on a paraphrasing and denoising autoencoder objective. Experiments are conducted on WMT datasets for German→English, French→English, and ...
💪Reinforcement Learning.@samukiimplemented various policy gradient variants in Joey NMT: here's thecode, could the logo be any more perfect? 💪 🐨 ✋Sign Language Translation.@neccambuilt a sign language translator that continuosly recognizes sign language and translates it. Check out the...
^Contrastive Learning for Many-to-many Multilingual Neural Machine Translationhttps://arxiv.org/abs/2105.09501 ^Universal Conditional Masked Language Pre-training for Neural Machine Translation
For this embedding layer to work, a vocabulary is first chosen for each language. Usually, a vocabulary size V is selected, and only the most frequent V words are treated as unique. All other words are converted to an "unknown" token and all get the same embedding. The embedding weights...
摘要原文 This paper proposes a technique for adding a new source or target language to an existing multilingual NMT model without re-training it on the initial set of languages. It consists in replacing the shared vocabulary with a small language-specific vocabulary and fine-tuning the new embedd...
[1] Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task:NLPTEA-2018 Task1(top 1) [2] Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deepbidirectionaltransformers for language understan...
As with all machine learning technologies, the right data will deliver better translation quality results. Language Studio includes the tools and technologies to process, gather, and synthesize the data needed for training. With sufficient in-domain data Neural MT is able to “think” more like th...
OpenNMT: open-source toolkit for neural machine translation, CoRR, abs/1701.02810. http://arxiv … Task-oriented spoken dialog system for second- language learning … Modern Chatbot Systems: A Technical Review AS Lokman, MA Ameedeen – Proceedings of the Future Technologies …, 2018 – Springer...
The growing popularity of neural machine translation (NMT) and LLMs represented by ChatGPT underscores the need for a deeper understanding of their distinct characteristics and relationships. Such understanding is crucial for language professionals and researchers to make informed decisions and tactful use...
lamtram: A toolkit for language and translation modeling using neural networks. CMU Graham Neubig博士组开发。 工具名称:Neural Monkey 地址:https://github.com/ufal/neuralmonkey 语言:TensorFlow/Python 简介:The Neural Monkey package provides a higher level abstraction for sequential neural network models,...