Updated Jan 5, 2023 Jupyter Notebook jayparks / tf-seq2seq Star 392 Code Issues Pull requests Sequence to sequence learning using TensorFlow. nlp machine-learning natural-language-processing deep-learning neural-network tensorflow seq2seq beam-search neural-machine-translation sequence-to-sequence ...
The advent of Multilingual Language Models (MLLMs) and Large Language Models (LLMs) has spawned innovation in many areas of natural language processing. Despite the exciting potential of this technology, its impact on developing high-quality Machine Translation (MT) outputs for low-resource language...
The evolution of artificial intelligence has introduced new ways to disseminate health information, including natural language processing mod... TK Ko,E Shamil,KS Fan,... - 《British Journal of Surgery》 被引量: 0发表: 2024年 Artificial intelligence and identifying prognostic patterns in upper ...
论文链接:https://arxiv.org/abs/2203.00555 最近,来自微软研究院的一篇论文,成功实现了Transformer层数量级上的突破,达到了1000层。 研究人员的目标就是不断提升Transformer训练的稳定性,继续提升模型的深度。他们研究了优化不稳定的原因所在,发现正是模型参数规模爆炸式的增加导致了这种不稳定性。基于上述结论,研究人员...
用一个immediate reward r1=LMb(Smid),表示B语言agent对这个Smid的natural程度判断,以此衡量第一个神经翻译模型翻译的精度。再把Smid经过backward translation step反馈会A语言模型,通过另一个reward r2=logP(S|Smid;Oba)衡量第二个神经翻译模型重构的精度。最后通过一个线性组合得到总的reward r=a*r1 + (1-a...
Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP... KD Dhole,V Gangal,S Gehrmann,... - 《Northern European Journal of Language Technology》 被引量: 0发表: 2023年 Contextual Data Augmentatio...
This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), No...
@inproceedings{wieting-17-backtrans, author = {John Wieting, Jonathan Mallinson, and Kevin Gimpel}, title = {Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext}, booktitle = {Proceedings of Empirical Methods in Natural Language Processing}, year = {2017} }...
"NVIDIA NeMo is a toolkit for building new state-of-the-art conversational AI models. NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models. Each collection consists of prebuilt modules that include everything nee...
An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University. - zhaocq-nlp/NJUNMT-tf