Since building Neural Machine Translation (NMT) systems requires a large parallel corpus, various data augmentation techniques have been adopted, especially for low-resource languages. In order to achieve the best performance through augmentation, NMT should be able evaluate quality of augmented data. Several studies addressed weighting assess quality. The basic idea adopted in previous is loss...

Yapay zekâ alan?nda son dönemlerde öne ç?kan derin ö?renme mimarilerinin, do?al dil i?leme konusunun önemli problemlerinden biri olan Anlam Belirsizli?i Giderme (ABG) çal??malar?nda kayda de?er geli?melere yol açt??? gözlemlenmektedir. Denetimli yöntemler rakiplerine göre daha yüksek performans sergilemektedirler. Bunun en büyük nedeni kullan?lan e?itim verilerinin büyüklükleridir. ABG problemi...

Amid the rapid advancement of neural machine translation, challenge data sparsity has been a major obstacle. To address this issue, study proposes general augmentation technique for various scenarios. It examines predicament parallel corpora diversity and high quality in both rich- low-resource settings, integrates low-frequency word substitution method reverse translation approach complementar...

As an effective strategy, data augmentation (DA) alleviates scarcity scenarios where deep learning techniques may fail. It is widely applied in computer vision then introduced to natural language processing and achieves improvements many tasks. One of the main focuses DA methods improve diversity training data, thereby helping model better generalize unseen testing data. In this survey, we fram...

Data augmentation is widely used to train deep neural networks for image classification tasks. Simply flipping images can help learning by increasing the number of training images by a factor of two. However, data augmentation in natural language processing is much less studied. Here, we describe two methods for data augmentation for Visual Question Answering (VQA). The first uses existing sema...

the aim of this study was to compare the lateral window and osteotome techniques for sinus lifting using histological and histomorphometric methods.in this clinical trial 10 patients (a total number of 14 sinus areas) who needed implant treatment in the atrophic posterior maxilla were enrolled. in all the cases the residual bone height between the sinus floor and the alveolar crest was less tha...

A method is presented for augmenting word n-gram counts in a matrix which represents a 2-gram Language Model (LM). This method is based on numerical distances in a reduced space obtained by Singular Value Decomposition (SVD). Rescoring word lattices in a spoken dialogue application using an LM containing augmented counts has lead to a Word Error Rate (WER) reduction of 6.5%. By further interpol...