最开始的那篇unsupervised neural machine translation的就是用的是两个decoder不共享参数,但是实验效果并不是很好,还有共用encoder的原因是为了将两种语言映射到同一个子空间中。 Unsupervised Neural Machine Translation withWeight Sharing motivation很自然,和上面我的想法是一致的就是认为应该用不同的encoder,因为不同的...
Wikipedia: Neural machine translation References: Routledge Encyclopedia of Translation Technology (2015) Handbook of Natural Language Processing and Machine Translation (2011) See also: 100 Best GitHub: Machine Translation | EBMT (Example-Based Machine Translation) & Dialog Systems | RBMT (Rule-Based...
1、任务:字符生成预测,数据集为Hutter Prize version of the Wikipedia dataset ByteNet Decoder采用RNN实现,在交叉熵的评价指标上取得了state of the art结果。 2、任务:机器翻译。数据集为WMT English to German translation task 简评: 1、虽然Dilated Convolution在某些实验任务上取得了不错的实验结果,但不能否认...
Since launching NLLB-200, we can already see the impact of the model across many directions. Four months after the launch of NLLB-200, Wikimedia reported that our model was the third most used machine translation engine used by Wikipedia editors (accounting for 3.8% of all published translat...
gual named entity recognition from wikipedia. Artifi- cial Intelligence, 194:151–175. Robert Parker, David Graff, Junbo Kong, Ke Chen, and Kazuaki Maeda. 2009. English gigaword fourth edition (ldc2009t13). Linguistic Data Consortium,
(1)Depthwise Separable Convolutions for Neural Machine Translation (2)One Model To Learn Them All (3)Discrete Autoencoders for Sequence Models (4)Generating Wikipedia by Summarizing Long Sequences (5)Image Transformer (6)Training Tips for the Transformer Model ...
By using an updated implementation of OpenNMT, and incorporating the Newsela corpus alongside the original Wikipedia dataset (Hwang et al.. 2016), as well as refining both datasets to select high quality training examples. Our work present two new systems, CombiNMT995, which is a result of ...
2016年9月,Google研究團隊宣布開發Google神經機器翻譯系統,同年11月,Google翻譯停止使用其自2007年10月以來一直使用的專有统计机器翻译(SMT)技術,開始使用神經機器翻譯(英语:Neural machine translation)(NMT)。 LASER-wikipedia2 Neural handshake initiated. 浮動 連結 開始 。 OpenSubtitles2018.v3 The nerve ...
TOP 3:SQuAD: 100, 000+ Questions for Machine Comprehension of Text 作者:Pranav Rajpurkar,Jian Zhang,Konstantin Lopyrev,Percy Liang 被引用:1569 SQuAD是一个用于机器阅读理解任务的数据集,有超过100,000个根据Wikipedia上提出的问题,问题的答案根据提出问题的相关文章来截取。
The performance of Neural Machine Translation (NMT) systems often suffers in low-resource scenarios where sufficiently large-scale parallel corpora cannot be obtained. Pre-trained word embeddings have proven to be invaluable for improving performance in natural language analysis tasks, which often suffer...