[PDF] Top 20 From Bilingual to Multilingual Neural Machine Translation by Incremental Training
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From Bilingual to Multilingual Neural Machine Translation by Incremental Training
... and translation in both ...In translation, we ob- serve a decrease in ...new training performs more than 2 BLEU points below the baseline sys- ... See full document
7
WordNet Gloss Translation for Under resourced Languages using Multilingual Neural Machine Translation
... most multilingual societies where the speaker or writer alternate between two or more languages in a sentence (Ayeomoni, 2006; Ran- jan et ...came from publicly available parallel corpus are cre- ated by ... See full document
7
Massively Multilingual Neural Machine Translation
... massively multilingual models and bilingual baselines when evaluated ...the translation directions the model is trained on are into English, this leaves less capac- ity for the other target languages ... See full document
11
Google’s Multilingual Neural Machine Translation System: Enabling Zero Shot Translation
... seen from Table 7, for the English↔X directions, all three models show comparable ...that training a new model from scratch improves the zero-shot translation directions ...data from ... See full document
14
Incremental Domain Adaptation for Neural Machine Translation in Low Resource Settings
... instances from the tar- get domain by comparing the distances of their sentence embeddings to the embeddings of the generic ...for training generic domain ...samples from a new do- main and varying ... See full document
10
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
... low-resource Neural Machine Translation (NMT) with multilingual corpora, training on the most related high-resource lan- guage only is often more effective than us- ing all data ... See full document
6
Translating with Bilingual Topic Knowledge for Neural Machine Translation
... dominant neural machine translation (NMT) models that based on the encoder-decoder architecture have recently achieved the state-of-the-art ...ing training for mapping a source sentence into ... See full document
8
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
... French-to-English translation, a source sentence may be tagged with opt src f1 opt tgt e0, denoting that it is translating from version “f1” of French data to version “e0” of En- glish ...Translating ... See full document
10
Multi Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
... We observed the larger improvements when trans- lating to English. We conjecture that this is due to a higher availability of English in most parallel corpora, leading to a better parameter estimation of the English ... See full document
10
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
... them from a shared latent space (Artetxe et ...two bilingual corpora as one monolingual corpus and using monolingual embedding pre-training in the initialization ... See full document
11
Multilingual Multimodal Machine Translation for Dravidian Languages utilizing Phonetic Transcription
... derived from the Flickr30k dataset (Plummer et ...of bilingual annotators (Elliott et ...cases, machine translation can be a useful tool for the quick ex- pansion to new languages by producing ... See full document
8
Residual Stacking of RNNs for Neural Machine Translation
... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...or training a end-to-end ... See full document
7
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... We have performed all our experiments with the freely available UN corpus. It contains about 12M sentences in six languages (En, Fr, Es, Ru, Ar and Zh). We have used the version which is 6-way par- allel (about 8.3M ... See full document
11
Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
... the training data, you can see that the number of correctly trans- lated tokens has ...and translation accu- racy has ...coverage from additional parallel ...Ru translation from added ... See full document
6
A neural interlingua for multilingual machine translation
... the multilingual case, since the English decoder sees more English ...Zero-shot Multilingual Classification We constructed a multilingual Yelp review dataset from a subset of the Yelp ... See full document
9
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
... a training mechanism to match the incremental decoding described in Section ...it from giving weight to the non-local (rightward) encoder ...a training procedure is non-trivial, as it re- ... See full document
7
Training Neural Machine Translation to Apply Terminology Constraints
... by neural machine translation (NMT), its output is of- ten still not adequate for many specific domains handled daily by the translation ...benefit from the availability of in-domain ... See full document
6
Multilingual Neural Machine Translation with Language Clustering
... Multilingual neural machine translation (NMT), which translates multiple languages using a single model, is of great practi- cal importance due to its advantages in simplifying the ... See full document
11
Paraphrasing Revisited with Neural Machine Translation
... the bilingual pivoting approach from the perspective of neural machine translation, a new approach to machine transla- tion based purely on neural networks (Kalchbren- ner ... See full document
13
Improving Back Translation with Uncertainty based Confidence Estimation
... In this work, we propose a method to quantify the confidence of NMT model predictions to en- able back-translation to better cope with transla- tion errors. The central idea is to use model un- certainty (Buntine ... See full document
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