This paper presents the results of the premier shared task organized alongside the
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …

Attention-based neural machine translation (NMT) models selectively focus on specific
source positions to produce a translation, which brings significant improvements over pure …

We address the task of automatically distinguishing between human-translated (HT) and
machine translated (MT) texts. Following recent work, we fine-tune pre-trained language …

We tackle the task of automatically discriminating between human and machine translations.
As opposed to most previous work, we perform experiments in a multilingual setting …

The field of statistical language modeling and machine translation has seen rapid
developments in recent years, with artificial neural networks taking center of the stage …

基于Transformer 的序列转换模型是当前性能最优的机器翻译模型之一. 该模型在生成机器译文
时, 通常从左到右逐个生成目标词, 这使得当前位置词的生成不能利用译文中该词之后未生成词 …

ニューラル機械翻訳における日英ニュース翻訳のための適切な出力文数の推定と制御 Toggle
navigation J-STAGE home 資料・記事を探す 資料を探す:資料タイトルから 資料を探す:分野から …