Webb14 juni 2024 · NLPAug allows you to eliminate the imbalance between data classes in text datasets by replacing words with synonyms, double translation, and other methods. … WebbAug 2024 - Present9 months. San Francisco Bay Area. • Over 600 hours of data science curriculum and training while working with established industry experts and building 2 in …
数据增强方法——Back translations(反向翻译) - CSDN博客
Webb19 maj 2024 · 方法 1. 词汇替换 这种方法试图在不改变句子主旨的情况下替换文本中的单词。 基于词典的替换 在这种技术中,我们从句子中随机取出一个单词,并使用同义词词典将其替换为同义词。 例如,我们可以使用WordNet的英语词汇数据库来查找同义词,然后执行替换。 它是一个手动管理的数据库,其中包含单词之间的关系。 Zhang et al.在其2015 … Webb22 dec. 2024 · 2. 回译(Back Translation) 在这种方法中,利用机器翻译来释义文本,同时重新训练其含义。Xie使用此方法来扩充未标记的文本,并仅使用20个标记的示例在IMDB数据集上学习半监督模型。他们的模型优于以前在25,000个带标签的示例上训练的最新模型。 反向翻译过程如下: tracey\u0027s tables quilters workstation
A Visual Survey of Data Augmentation in NLP - Amit Chaudhary
Webb5 aug. 2024 · Sennrich et al. (2015) used back-translation method to generate more training data to improve translation model performance. Examples of back translation (Xie et al., 2024) ... If you are interested to use TF-IDF based word replacing for data augmentation, you may visit nlpaug for python implementation. Training Signal … Webb21 nov. 2024 · Back Translation. Back translation based augmentation first translate Bangla sentence to English and then again translate the English to Bangla. ... nlpaug; … Webb14 apr. 2024 · Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection. 2024; Y. Hirota, N. Garcia, M. Otani, C. Chu, Y. Nakashima, I.Taniguchi and … tracey\u0027s skincare