[PDF] Top 20 Data augmentation using back translation for context aware neural machine translation
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Data augmentation using back translation for context aware neural machine translation
... the data augmenta- tion on context-aware NMT ...duct translation experiments on two language pairs for both directions: Japanese → English (hereafter, ja→en), English→Japanese (en→ja), ... See full document
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Supervised neural machine translation based on data augmentation and improved training & inference process
... training data, we tried four kinds of combinations shown in Table ...For data augmentation and back translation is mutual exclusion, we trained different models and did ensemble to ... See full document
5
Data Augmentation for Low Resource Neural Machine Translation
... that data augmentation does not introduce new words to the ...language data with Byte- pair encoding (BPE) (Sennrich et al., 2016b) using 30K merge ...the augmentation exper- iments BPE ... See full document
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Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation
... unconstrained data settings on Fr↔En as language ...new data augmentation methods to generate noise from this ...pare back translation (BT) (Sennrich et ...forward translation ... See full document
9
Context Aware Neural Machine Translation Learns Anaphora Resolution
... Standard machine translation systems pro- cess sentences in isolation and hence ig- nore extra-sentential information, even though extended context can both prevent mistakes in ambiguous cases and ... See full document
11
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
... Many Data Augmentation (DA) methods have been proposed for neural machine ...four translation tasks are achieved regarding both ... See full document
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Soft Contextual Data Augmentation for Neural Machine Translation
... While data augmentation is an important trick to boost the accuracy of deep learning meth- ods in computer vision tasks, its study in nat- ural language tasks is still very ...novel data augmen- ... See full document
6
Selective Attention for Context aware Neural Machine Translation
... document- context on both source and target-side using mem- ory networks (Maruf and Haffari, ...previous context to use and there has been no comparison between the online and offline setting except ... See full document
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Context aware Neural Machine Translation with Coreference Information
... Our proposed model can encode not only the sen- tence to be translated but also its preceding and succeeding sentences together, based on the re- sults of coreference resolution. Therefore, infor- mation about sentence ... See full document
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Context Aware Neural Machine Translation Decoding
... sophisticated context- aware approaches propose to modify the NMT ar- ...as context sentence the previous source sentence, showing how NMT systems can also benefit from larger ...sentence ... See full document
11
Generalizing Back Translation in Neural Machine Translation
... — data augmentation by translating target monolingual data — is a crucial component in modern neural machine translation ...mulate back-translation in the scope of ... See full document
8
Neural Machine Translation with Extended Context
... larger translation units. Here, the neural network produces a translation of the entire ex- tended ...External context is not marked with specific prefixes anymore and token represen- tations ... See full document
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A Context Aware Topic Model for Statistical Machine Translation
... a context-aware topic model for lexical selec- tion, which not only models local contexts and global topics but also captures their correla- ...from data, we introduce a Gibbs sam- pling algorithm ... See full document
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Context Aware Smoothing for Neural Machine Translation
... novel context- aware smoothing method to dynamically learn a Context-Aware Representation (CAR) for each word (including OOV words) depending on its local context words in a ...the ... See full document
10
A Principled Approach to Context Aware Machine Translation
... To circumvent this apparent inconsistency of the model, and to compute proper estimates for the values of 𝑐𝑜𝑢𝑛𝑡 (𝑆, 𝑠 𝑖 , 𝑡 𝑖 ) , our proposed model implementation uses fractional counts. This means that, instead of ... See full document
5
Sense Aware Statistical Machine Translation using Adaptive Context Dependent Clustering
... Statistical machine translation (SMT) sys- tems use local cues from n-gram trans- lation and language models to select the translation of each source ...larger context for WSD than SMT can ... See full document
10
Context Aware Monolingual Repair for Neural Machine Translation
... monolingual data to model inconsisten- cies between sentence-level ...document-level data is parallel, and translations are sampled from the source side of the sentences in a group rather than from their ... See full document
10
A Character Aware Encoder for Neural Machine Translation
... Neural machine translation conducts end-to-end translation with a source encoder and a target decoder, producing promising results (Kalchbrenner and Blunsom, 2013; Sutskever et ...better ... See full document
8
Exploiting Sentential Context for Neural Machine Translation
... tial context) for generating the equivalents in the target ...is aware of the whole meaning of the ...sentential context, which represents the whole meaning of the source ... See full document
7
Sentiment Aware Neural Machine Translation
... We propose methods for producing translations of both positive and negative sentiment of a given source sentence. In our sentiment-aware transla- tion task, users input a desired sentiment label dur- ing decoding ... See full document
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