[PDF] Top 20 Zero Resource Neural Machine Translation with Monolingual Pivot Data
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Zero Resource Neural Machine Translation with Monolingual Pivot Data
... that monolingual data from a lan- guage other than the source and target languages can aid NMT performance, complementing litera- ture on using source- and target-language mono- lingual data in ... See full document
9
A Teacher Student Framework for Zero Resource Neural Machine Translation
... parallel data via a pivot, which is either text (Cheng et ...a pivot-based method for zero- resource NMT: it first translates the source lan- guage to a pivot language, which is ... See full document
11
Pivot based Transfer Learning for Neural Machine Translation between Non English Languages
... enable zero-shot translation for unseen non-English language ...synthetic data generation to improve the zero-shot performance iteratively, where Sestorain et ...and pivot-target ... See full document
11
Multimodal Neural Machine Translation for Low resource Language Pairs using Synthetic Data
... lingual data on the target side to investi- gate two methods of filling the source side of the monolingual ...side monolingual in NMT in many ...synthetic data by translat- ing the ... See full document
10
Naive Regularizers for Low-Resource Neural Machine Translation
... training data are not avail- able, neural machine translation has come with diminishing returns (Koehn and Knowles, ...2015), zero-shot learning (John- son et al., 2016), and ... See full document
10
Improving Back Translation with Uncertainty based Confidence Estimation
... abundant monolingual cor- pora to improve low-resource neural machine translation (NMT), the synthetic bilingual cor- pora generated by NMT models trained on limited authentic bilingual ... See full document
12
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 ...after data augmentation. For the LMs needed for data augmentation, we ... See full document
7
Iterative Back Translation for Neural Machine Translation
... statistical machine translation, where it has been used for semi-supervised learning (Bojar and Tam- chyna, 2011), or self-training (Goutte et ...the monolingual tar- get data into the source ... See full document
7
Meta Learning for Low Resource Neural Machine Translation
... Low Resource Translation NMT is known to easily over-fit and result in an inferior performance when the training data is limited (Koehn and Knowles, ...low resource translation: (1) ... See full document
10
Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language
... SMT has proven to be successful for a number of language pairs. However, as soon as the Per- sian language is involved with any sort of ma- chine translation, a number of difficulties are en- countered. Of other ... See full document
7
Consistency by Agreement in Zero Shot Neural Machine Translation
... behind Pivot on average (except on Es → De where it is ...reported zero-resource results on a subset of these directions and our ap- proach outperforms the former but not the latter on these ... See full document
14
Copied Monolingual Data Improves Low Resource Neural Machine Translation
... translated data) resulted in small improvements ...more monolingual than parallel data would result in a worse performance, since the system would see true parallel data less often than copied ... See full document
9
Zero Resource Translation with Multi Lingual Neural Machine Translation
... the translation path between those two languages was not included in training (Table 4 ...the pivot- based one-to-one translation strategy, as can be seen in Table 4 ...worse translation ... See full document
10
Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
... test data for A and B , ...training data, you can see that the number of correctly trans- lated tokens has ...and translation accu- racy has ...Ru translation from added in- direct Ja ↔ En and ... See full document
6
The IIIT H Gujarati English Machine Translation System for WMT19
... of data scarcity and the hardness of the system to learn high quality representations for rare words, (Sennrich et ...perform translation at a subword ...the translation, we do an extra post ... See full document
5
Monolingual Machine Translation for Paraphrase Generation
... ing data is inherently noisy, having more in common with analogous corpora than conventional MT parallel corpora in that the paraphrases are not constrained by the source text ...additional data will ... See full document
8
Sentence Simplification by Monolingual Machine Translation
... a monolingual ma- chine translation task, where the source and target languages are the same and where the output should be simpler in form from the input but similar in ... See full document
10
Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation
... The experimental settings were the same as those of Section 4 except for the corpora. We considered the mixture of the base and GCP cor- pora (including the manual back-translation) in Table 2 as the original ... See full document
9
Revisiting Pivot Language Approach for Machine Translation
... several pivot translation methods, there are no studies to combine different pivot methods for translation quality ...individual pivot methods and then in- vestigate to improve ... See full document
9
Transfer Learning for Low Resource Neural Machine Translation
... the neural encoder-decoder framework for MT (Neco and Forcada, 1997; Casta˜no and Casacu- berta, 1997; Sutskever et ...recurrent neural network (encoder) to convert a source sen- tence into a dense, ... See full document
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