[PDF] Top 20 Exploiting Out of Domain Parallel Data through Multilingual Transfer Learning for Low Resource Neural Machine Translation
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Exploiting Out of Domain Parallel Data through Multilingual Transfer Learning for Low Resource Neural Machine Translation
... news domain parallel corpus and hence is extremely ...in-domain parallel corpora, ...prominent low-resource techniques, such as mul- tilingual modeling, back-translation, ... See full document
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Addressing word order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages
... and translation from these to Hindi consti- tute the child ...English-Hindi parallel cor- pus (Kunchukuttan et ...English-Hindi parallel corpus ...Initiative) multilingual parallel ... See full document
6
Transfer Learning across Low Resource, Related Languages for Neural Machine Translation
... If the parent and child language have different orthographies, it should help to map them into a common orthography. Even if the two use the same script, some transformation could be ap- plied; for example, we might ... See full document
6
Exploiting Linguistic Knowledge for Low-Resource Neural Machine Translation
... the low-resource NMT to explicitly utilize the source-side linguistic knowledge, which models the word sequence in parallel to the linguistic features by using two separate encoders with parameter ... See full document
9
Exploiting Multilingualism through Multistage Fine Tuning for Low Resource Neural Machine Translation
... to low- resource languages (b) via exploiting multilingual- ism (c) through transfer learning based on multi- stage ...one-to-one translation (Zoph et ...encoder, ... See full document
7
Meta Learning for Low Resource Neural Machine Translation
... vs. Multilingual Transfer Learning We meta- learn the initial models on all the source tasks us- ing either Ro-En or Lv-En as a validation ...the multilingual, transfer learning ... See full document
10
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
... examined data selection from the view of domain adaptation, selecting good train- ing data from out-of-domain text to improve in- domain ...select data that score above a ... See full document
6
Multimodal Neural Machine Translation for Low resource Language Pairs using Synthetic Data
... ral machine translation (NMT) and image de- scription generation (IDG) that explicitly uses an encoder-decoder framework as an instan- tiation of the sequence to sequence (seq2seq) learning problem ... See full document
10
Curriculum Learning for Domain Adaptation in Neural Machine Translation
... in-domain data in each domain is summarized in Table ...in-domain data from each ...of low-resource domain adaptation ...unlabeled-domain data into ... See full document
13
Incremental Domain Adaptation for Neural Machine Translation in Low Resource Settings
... get domain by comparing the distances of their sentence embeddings to the embeddings of the generic ...existing parallel corpora for simu- lating human workers: The MEDAR 1 and Glob- alVoices dataset ... See full document
10
Improving Low Resource Neural Machine Translation with Filtered Pseudo Parallel Corpus
... in domain adap- tation (Moore and Lewis, 2010; Axelrod et ...the translation model (Wang et ...high-quality parallel sentence pairs and achieve better translation performance and reduce time- ... See full document
9
Improving Neural Machine Translation Using Noisy Parallel Data through Distillation
... the machine learning literature, various meth- ods have been proposed for efficient learning with label ...unlabeled data can be obtained by predictions of another ...noisy data cause ... See full document
10
Massively Multilingual Neural Machine Translation
... both multilingual models perform better than the baselines in terms of average ...the low-resource experiments on the TED Talks ...the low-resource dataset; when the training ... See full document
11
Trivial Transfer Learning for Low Resource Neural Machine Translation
... child parallel data or only on the parent ...of translation out of English is ...from transfer learning is larger for Estonian ... See full document
9
Transfer Learning for Low Resource Neural Machine Translation
... the low-resource experiments, and Firat et ...both low-resource and high-resource lan- guages, while in our case the datasets come from vastly different domains, which makes the task ... See full document
8
Revisiting Low Resource Neural Machine Translation: A Case Study
... in low-data settings, and can outper- form PBSMT with far less parallel training data than previously ...in low-resource MT research has been the bet- ter exploitation of ... See full document
11
Japanese Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019
... Asian Translation (Nakazawa et ...news translation. It is a very challenging task considering: (a) extremely low resource setting, the size of parallel data is only 12k ... See full document
6
The IIIT H Gujarati English Machine Translation System for WMT19
... for Machine Translation for low resource ...the data scarcity problem. Transfer Learning and Multilin- gual Machine Translation are two important areas of ... See full document
5
NICT’s participation to WAT 2019: Multilingualism and Multi step Fine Tuning for Low Resource NMT
... fer learning and back-translation for our submis- ...on multilingual multi-stage training in conjunction with back-translating in-domain cor- pora leads to a competitive ...simple ... See full document
5
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, ...multi-task learning (Firat et al., 2016; Dong et al., 2015), ... See full document
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