surveyLRL.bib

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  title        = {Glottolog 4.2.1},
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  year         = {2020}
}

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@inproceedings{zhou2019handling,
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@inproceedings{currey2017copied,
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@inproceedings{qi2018and,
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@inproceedings{pennington2014glove,
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@article{koehn2017neural,
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@inproceedings{gu2018universal,
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@inproceedings{neubig2018rapid,
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@article{kocmi2018trivial,
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@inproceedings{zoph2016transfer,
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@article{ostling2017neural,
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@inproceedings{nguyen2017transfer,
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@inproceedings{lin2019choosing,
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}
@article{luo2019hierarchical,
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}
@inproceedings{finn2017model,
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@inproceedings{gu2018meta,
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  year={2018}
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@inproceedings{mi2019meta,
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}
@article{nooralahzadeh2020zero,
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@inproceedings{qian2019domain,
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  year={2019}
}
@inproceedings{dou2019investigating,
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}

@article{wang2020balancing,
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  year={2020}
}
@article{li2019metamt,
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  year={2019}
}
@inproceedings{bird2012machine,
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@article{passban2017translating,
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@inproceedings{maimaiti2018discussion,
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 }
@article{maimaiti2019multi,
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}
@inproceedings{kim2019pivot,
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  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
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  year={2019}
}
@article{luo2020joint,
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}

@inproceedings{dong2015multi,
  title={Multi-task learning for multiple language translation},
  author={Dong, Daxiang and Wu, Hua and He, Wei and Yu, Dianhai and Wang, Haifeng},
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@article{kiperwasser2018scheduled,
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  pages={225--240},
  year={2018}
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@inproceedings{zaremoodi2019adaptively,
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  year={2019}
}
@inproceedings{zoph2016multi,
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  year={2016}
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@article{pan2020multi,
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@article{mi2020loanword,
  title={Loanword Identification in Low-Resource Languages with Minimal Supervision},
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  journal={ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)},
  volume={19},
  number={3},
  pages={1--22},
  year={2020},
  publisher={ACM New York, NY, USA}
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@inproceedings{lakew2018transfer,
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  author={Lakew, SM and Erofeeva, A and Negri, M and Federico, M and Turchi, M},
  booktitle={15th International Workshop on Spoken Language Translation},
  pages={54--62},
  year={2018}
}
@article{lakew2018improving,
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  journal={arXiv preprint arXiv:1811.01389},
  year={2018}
}
@inproceedings{al2019consistency,
  title={Consistency by Agreement in Zero-Shot Neural Machine Translation},
  author={Al-Shedivat, Maruan and Parikh, Ankur},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  pages={1184--1197},
  year={2019}
}

@article{arivazhagan2019missing,
  title={The missing ingredient in zero-shot neural machine translation},
  author={Arivazhagan, Naveen and Bapna, Ankur and Firat, Orhan and Aharoni, Roee and Johnson, Melvin and Macherey, Wolfgang},
  journal={arXiv preprint arXiv:1903.07091},
  year={2019}
}
@article{arivazhagan2019massively,
  title={Massively multilingual neural machine translation in the wild: Findings and challenges},
  author={Arivazhagan, Naveen and Bapna, Ankur and Firat, Orhan and Lepikhin, Dmitry and Johnson, Melvin and Krikun, Maxim and Chen, Mia Xu and Cao, Yuan and Foster, George and Cherry, Colin and others},
  journal={arXiv preprint arXiv:1907.05019},
  year={2019}
}

@article{artetxe2019massively,
  title={Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond},
  author={Artetxe, Mikel and Schwenk, Holger},
  journal={Transactions of the Association for Computational Linguistics},
  volume={7},
  pages={597--610},
  year={2019},
  publisher={MIT Press}
}

@inproceedings{firat2016multi,
  title={Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism},
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  pages={866--875},
  year={2016}
}
@inproceedings{firat2016zero,
  title={Zero-Resource Translation with Multi-Lingual Neural Machine Translation},
  author={Firat, Orhan and Sankaran, Baskaran and Al-Onaizan, Yaser and Vural, Fatos T Yarman and Cho, Kyunghyun},
  booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  pages={268--277},
  year={2016}
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@article{firat2017multi,
  title={Multi-way, multilingual neural machine translation},
  author={Firat, Orhan and Cho, Kyunghyun and Sankaran, Baskaran and Vural, Fatos T Yarman and Bengio, Yoshua},
  journal={Computer Speech \& Language},
  volume={45},
  pages={236--252},
  year={2017},
  publisher={Elsevier}
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@article{lee2017fully,
  title={Fully character-level neural machine translation without explicit segmentation},
  author={Lee, Jason and Cho, Kyunghyun and Hofmann, Thomas},
  journal={Transactions of the Association for Computational Linguistics},
  volume={5},
  pages={365--378},
  year={2017},
  publisher={MIT Press}
}
@inproceedings{rikters2018training,
  title={Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages},
  author={Rikters, Mat{\=\i}ss and Pinnis, M{\=a}rcis and Kri{\v{s}}lauks, Rihards},
  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year={2018}
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@inproceedings{aharoni2019massively,
  title={Massively Multilingual Neural Machine Translation},
  author={Aharoni, Roee and Johnson, Melvin and Firat, Orhan},
  booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  pages={3874--3884},
  year={2019}
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@inproceedings{imankulova2017improving,
  title={Improving low-resource neural machine translation with filtered pseudo-parallel corpus},
  author={Imankulova, Aizhan and Sato, Takayuki and Komachi, Mamoru},
  booktitle={Proceedings of the 4th Workshop on Asian Translation (WAT2017)},
  pages={70--78},
  year={2017}
}
@inproceedings{imankulova2019exploiting,
  title={Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation},
  author={Imankulova, Aizhan and Dabre, Raj and Fujita, Atsushi and Imamura, Kenji},
  booktitle={Proceedings of Machine Translation Summit XVII Volume 1: Research Track},
  pages={128--139},
  year={2019}
}
@article{imankulova2019filtered,
  title={Filtered Pseudo-parallel Corpus Improves Low-resource Neural Machine Translation},
  author={Imankulova, Aizhan and Sato, Takayuki and Komachi, Mamoru},
  journal={ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)},
  volume={19},
  number={2},
  pages={1--16},
  year={2019},
  publisher={ACM New York, NY, USA}
}
@inproceedings{hokamp2019evaluating,
  title={Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models},
  author={Hokamp, Chris and Glover, John and Ghalandari, Demian Gholipour},
  booktitle={Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)},
  pages={209--217},
  year={2019}
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@inproceedings{arcan2019inferring,
  title={Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation},
  author={Arcan, Mihael and Torregrosa, Daniel and Ahmadi, Sina and McCrae, John P},
  booktitle={Proceedings of the Translation Inference Across Dictionaries Workshop (TIAD 2019)},
  year={2019},
  organization={National University of Ireland, Galway}
}
@article{vazquez2018multilingual,
  title={Multilingual NMT with a language-independent attention bridge},
  author={V{\'a}zquez, Ra{\'u}l and Raganato, Alessandro and Tiedemann, J{\"o}rg and Creutz, Mathias},
  journal={arXiv preprint arXiv:1811.00498},
  year={2018}
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@article{artetxe2017unsupervised,
  title={Unsupervised neural machine translation},
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  year={2017}
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@inproceedings{artetxe2018unsupervised,
  title={Unsupervised neural machine translation},
  author={Artetxe, Mikel and Labaka, Gorka and Agirre, Eneko and Cho, Kyunghyun},
  booktitle={6th International Conference on Learning Representations, ICLR 2018},
  year={2018}
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@inproceedings{leng2019unsupervised,
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@inproceedings{gu2019improved,
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@inproceedings{chaudhary2019low,
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@inproceedings{wang2019target,
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@inproceedings{kudugunta2019investigating,
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@inproceedings{bapna2019simple,
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  year={2019}
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@inproceedings{dabre2019exploiting,
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@inproceedings{wang2019multilingual,
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  year={2019},
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% @article{escolanobilingual,
%   title={From bilingual to multilingual neural-based machine translation by incremental training},
%   author={Escolano, Carlos and Costa-Juss{\`a}, Marta R and Fonollosa, Jos{\'e} AR},
%   journal={Journal of the Association for Information Science and Technology},
%   publisher={Wiley Online Library}
% }
@article{escolano2020bilingual,
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  year={2017}
}
@inproceedings{luong-etal-2015-addressing,
    title = "Addressing the Rare Word Problem in Neural Machine Translation",
    author = "Luong, Thang  and
      Sutskever, Ilya  and
      Le, Quoc  and
      Vinyals, Oriol  and
      Zaremba, Wojciech",
    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = jul,
    year = "2015",
    address = "Beijing, China",
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}
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  pages={1412--1421},
  year={2015}
}
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  year={2015}
}
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@inproceedings{cohn-etal-2016-incorporating,
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      Vymolova, Ekaterina  and
      Yao, Kaisheng  and
      Dyer, Chris  and
      Haffari, Gholamreza",
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    month = jun,
    year = "2016",
    address = "San Diego, California",
    publisher = "Association for Computational Linguistics",
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    pages = "876--885",
}
@InProceedings{FENG18.3,
  author = {Tao Feng ,Miao Li and Lei Chen},
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  year = {2018},
  month = {may},
  date = {7-12},
  location = {Miyazaki, Japan},
  editor = {Jinhua Du and Mihael Arcan and Qun Liu and Hitoshi Isahara},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {979-10-95546-15-3},
  language = {english}
  }
  @inproceedings{tu2016modeling,
  title={Modeling Coverage for Neural Machine Translation},
  author={Tu, Zhaopeng and Lu, Zhengdong and Liu, Yang and Liu, Xiaohua and Li, Hang},
  booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={76--85},
  year={2016}
}
@inproceedings{mi2016coverage,
  title={Coverage Embedding Models for Neural Machine Translation},
  author={Mi, Haitao and Sankaran, Baskaran and Wang, Zhiguo and Ittycheriah, Abe},
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  pages={955--960},
  year={2016}
}
@inproceedings{mi2016supervised,
  title={Supervised Attentions for Neural Machine Translation},
  author={Mi, Haitao and Wang, Zhiguo and Ittycheriah, Abe},
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  pages={2283--2288},
  year={2016}
}
@inproceedings{mi2016vocabulary,
  title={Vocabulary Manipulation for Neural Machine Translation},
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  booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={124--129},
  year={2016}
}
@inproceedings{shen2016minimum,
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  pages={1683--1692},
  year={2016}
}
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  booktitle={Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence},
  pages={2852--2858},
  year={2016}
}
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  pages={1--10},
  year={2015}
}
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}
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@inproceedings{vaswani2017attention,
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  year={2017}
}
@techreport{koehn2003statistical,
  title={Statistical phrase-based translation},
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@inproceedings{hoang2018iterative,
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@article{yu2020efficient,
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  author={Yu, Zhiqiang and Yu, Zhengtao and Guo, Junjun and Huang, Yuxin and Wen, Yonghua},
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@article{zhu2019novel,
  title={A Novel Deep Learning Method for Obtaining Bilingual Corpus from Multilingual Website},
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  volume={2019},
  year={2019},
  publisher={Hindawi}
}
@inproceedings{przystupa2019neural,
  title={Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation},
  author={Przystupa, Michael and Abdul-Mageed, Muhammad},
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  pages={224--235},
  year={2019}
}
@article{burlot2019using,
  title={Using monolingual data in neural machine translation: a systematic study},
  author={Burlot, Franck and Yvon, Fran{\c{c}}ois},
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  year={2019}
}
@article{jin2020unsupervised,
  title={Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation},
  author={Jin, Di and Jin, Zhijing and Zhou, Joey Tianyi and Szolovits, Peter},
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  year={2020}
}
@inproceedings{jin2019imat,
  title={IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation},
  author={Jin, Zhijing and Jin, Di and Mueller, Jonas and Matthews, Nicholas and Santus, Enrico},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={3088--3100},
  year={2019}
}
@article{ding2018source,
  title={How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?},
  author={Ding, Shuoyang and Duh, Kevin},
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  year={2018}
}
@article{dou2019unsupervised,
  title={Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings},
  author={Dou, Zi-Yi and Hu, Junjie and Anastasopoulos, Antonios and Neubig, Graham},
  journal={arXiv preprint arXiv:1908.10430},
  year={2019}
}
@article{gulcehre2015using,
  title={On using monolingual corpora in neural machine translation},
  author={Gulcehre, Caglar and Firat, Orhan and Xu, Kelvin and Cho, Kyunghyun and Barrault, Loic and Lin, Huei-Chi and Bougares, Fethi and Schwenk, Holger and Bengio, Yoshua},
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  year={2015}
}
@article{baziotis2020language,
  title={Language Model Prior for Low-Resource Neural Machine Translation},
  author={Baziotis, Christos and Haddow, Barry and Birch, Alexandra},
  journal={arXiv preprint arXiv:2004.14928},
  year={2020}
}
@article{gulcehre2017integrating,
  title={On integrating a language model into neural machine translation},
  author={Gulcehre, Caglar and Firat, Orhan and Xu, Kelvin and Cho, Kyunghyun and Bengio, Yoshua},
  journal={Computer Speech \& Language},
  volume={45},
  pages={137--148},
  year={2017},
  publisher={Elsevier}
}
@article{pan2020exploiting,
  title={Exploiting Linguistic Knowledge for Low-Resource Neural Machine Translation},
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  year={2020},
  publisher={MDPI AG}
}
@article{chen2019facebook,
  title={Facebook AI’s WAT19 Myanmar-English Translation Task Submission},
  author={Chen, Peng-Jen and Shen, Jiajun and Le, Matt and Chaudhary, Vishrav and El-Kishky, Ahmed and Wenzek, Guillaume and Ott, Myle and Ranzato, Marc’Aurelio},
  journal={WAT 2019},
  pages={112},
  year={2019}
}

@inproceedings{guzman2019flores,
  title={The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali--English and Sinhala--English},
  author={Guzm{\'a}n, Francisco and Chen, Peng-Jen and Ott, Myle and Pino, Juan and Lample, Guillaume and Koehn, Philipp and Chaudhary, Vishrav and Ranzato, Marc’Aurelio},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={6100--6113},
  year={2019}
}

@article{xu2019improving,
  title={Improving Neural Machine Translation by Filtering Synthetic Parallel Data},
  author={Xu, Guanghao and Ko, Youngjoong and Seo, Jungyun},
  journal={Entropy},
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  number={12},
  pages={1213},
  year={2019},
  publisher={Multidisciplinary Digital Publishing Institute}
}
@inproceedings{cho2014learning,
  title={Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation},
  author={Cho, Kyunghyun and van Merri{\"e}nboer, Bart and Gulcehre, Caglar and Bahdanau, Dzmitry and Bougares, Fethi and Schwenk, Holger and Bengio, Yoshua},
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}
@article{liu2020layer,
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  year={2020}
}
@inproceedings{van2017dynamic,
  title={Dynamic Data Selection for Neural Machine Translation},
  author={van der Wees, Marlies and Bisazza, Arianna and Monz, Christof},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1400--1410},
  year={2017}
}
@inproceedings{junczys2016log,
  title={Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing},
  author={Junczys-Dowmunt, Marcin and Grundkiewicz, Roman},
  booktitle={Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers},
  pages={751--758},
  year={2016}
}
@inproceedings{chen2016bilingual,
  title={Bilingual methods for adaptive training data selection for machine translation},
  author={Chen, Boxing and Kuhn, Roland and Foster, George and Cherry, Colin and Huang, Fei},
  booktitle={Proc. of AMTA},
  pages={93--103},
  year={2016}
}
@inproceedings{silva2018extracting,
  title={Extracting in-domain training corpora for neural machine translation using data selection methods},
  author={Silva, Catarina Cruz and Liu, Chao-Hong and Poncelas, Alberto and Way, Andy},
  booktitle={Proceedings of the Third Conference on Machine Translation: Research Papers},
  pages={224--231},
  year={2018}
}
@inproceedings{duh2020benchmarking,
  title={Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages},
  author={Duh, Kevin and McNamee, Paul and Post, Matt and Thompson, Brian},
  booktitle={Proceedings of The 12th Language Resources and Evaluation Conference},
  pages={2667--2675},
  year={2020}
}
@article{he2019revisiting,
  title={Revisiting self-training for neural sequence generation},
  author={He, Junxian and Gu, Jiatao and Shen, Jiajun and Ranzato, Marc'Aurelio},
  journal={arXiv preprint arXiv:1909.13788},
  year={2019}
}
@inproceedings{wang2019improving,
  title={Improving Back-Translation with Uncertainty-based Confidence Estimation},
  author={Wang, Shuo and Liu, Yang and Wang, Chao and Luan, Huanbo and Sun, Maosong},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={791--802},
  year={2019}
}
@article{shen2019source,
  title={The Source-Target Domain Mismatch Problem in Machine Translation},
  author={Shen, Jiajun and Chen, Peng-Jen and Le, Matt and He, Junxian and Gu, Jiatao and Ott, Myle and Auli, Michael and Ranzato, Marc'Aurelio},
  journal={arXiv preprint arXiv:1909.13151},
  year={2019}
}
@inproceedings{imamura2018nict,
  title={NICT self-training approach to neural machine translation at NMT-2018},
  author={Imamura, Kenji and Sumita, Eiichiro},
  booktitle={Proceedings of the 2nd Workshop on Neural Machine Translation and Generation},
  pages={110--115},
  year={2018}
}
@inproceedings{imamura2018multilingual,
  title={Multilingual parallel corpus for global communication plan},
  author={Imamura, Kenji and Sumita, Eiichiro},
  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year={2018}
}
@article{sun2020self,
  title={Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios},
  author={Sun, Haipeng and Wang, Rui and Chen, Kehai and Utiyama, Masao and Sumita, Eiichiro and Zhao, Tiejun},
  journal={arXiv preprint arXiv:2004.04507},
  year={2020}
}
@article{abdulmumin2020using,
  title={Using Self-Training to Improve Back-Translation in Low Resource Neural Machine Translation},
  author={Abdulmumin, Idris and Galadanci, Bashir Shehu and Isa, Abubakar},
  journal={arXiv preprint arXiv:2006.02876},
  year={2020}
}
@article{sun2020unsupervised,
  title={Unsupervised neural machine translation with cross-lingual language representation agreement},
  author={Sun, Haipeng and Wang, Rui and Chen, Kehai and Utiyama, Masao and Sumita, Eiichiro and Zhao, Tiejun},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  volume={28},
  pages={1170--1182},
  year={2020},
  publisher={IEEE}
}
@inproceedings{artetxe2019effective,
  title={An Effective Approach to Unsupervised Machine Translation},
  author={Artetxe, Mikel and Labaka, Gorka and Agirre, Eneko},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={194--203},
  year={2019}
}
@article{du2017pre,
  title={Pre-reordering for neural machine translation: helpful or harmful?},
  author={Du, Jinhua and Way, Andy},
  journal={The Prague Bulletin of Mathematical Linguistics},
  volume={108},
  number={1},
  pages={171--182},
  year={2017},
  publisher={Sciendo}
}
@article{isabelle2017challenge,
  title={A challenge set approach to evaluating machine translation},
  author={Isabelle, Pierre and Cherry, Colin and Foster, George},
  journal={arXiv preprint arXiv:1704.07431},
  year={2017}
}
@inproceedings{koehn2017six,
  title={Six Challenges for Neural Machine Translation},
  author={Koehn, Philipp and Knowles, Rebecca},
  booktitle={Proceedings of the First Workshop on Neural Machine Translation},
  pages={28--39},
  year={2017}
}
@inproceedings{duh2013adaptation,
  title={Adaptation data selection using neural language models: Experiments in machine translation},
  author={Duh, Kevin and Neubig, Graham and Sudoh, Katsuhito and Tsukada, Hajime},
  booktitle={Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={678--683},
  year={2013}
}
@inproceedings{sennrich2013multi,
  title={A Multi-Domain Translation Model Framework for Statistical Machine Translation},
  author={Sennrich, Rico and Schwenk, Holger and Aransa, Walid},
  booktitle={Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={832--840},
  year={2013}
}
@inproceedings{bentivogli2016neural,
  title={Neural versus Phrase-Based Machine Translation Quality: a Case Study},
  author={Bentivogli, Luisa and Bisazza, Arianna and Cettolo, Mauro and Federico, Marcello},
  booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  pages={257--267},
  year={2016}
}
@article{mahata2018smt,
  title={Smt vs nmt: A comparison over hindi \& bengali simple sentences},
  author={Mahata, Sainik Kumar and Mandal, Soumil and Das, Dipankar and Bandyopadhyay, Sivaji},
  journal={arXiv preprint arXiv:1812.04898},
  year={2018}
}
@inproceedings{he2016improved,
  title={Improved neural machine translation with SMT features},
  author={He, Wei and He, Zhongjun and Wu, Hua and Wang, Haifeng},
  booktitle={Thirtieth AAAI conference on artificial intelligence},
  year={2016}
}
@inproceedings{stahlberg2016syntactically,
  title={Syntactically Guided Neural Machine Translation},
  author={Stahlberg, Felix and Hasler, Eva and Waite, Aurelien and Byrne, Bill},
  booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={299--305},
  year={2016}
}
@inproceedings{wang2017neural,
  title={Neural machine translation advised by statistical machine translation},
  author={Wang, Xing and Lu, Zhengdong and Tu, Zhaopeng and Li, Hang and Xiong, Deyi and Zhang, Min},
  booktitle={Thirty-First AAAI Conference on Artificial Intelligence},
  year={2017}
}
@inproceedings{arthur2016incorporating,
  title={Incorporating Discrete Translation Lexicons into Neural Machine Translation},
  author={Arthur, Philip and Neubig, Graham and Nakamura, Satoshi},
  booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  pages={1557--1567},
  year={2016}
}
@inproceedings{dahlmann2017neural,
  title={Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search},
  author={Dahlmann, Leonard and Matusov, Evgeny and Petrushkov, Pavel and Khadivi, Shahram},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1411--1420},
  year={2017}
}
@article{abbott2018towards,
  title={Towards neural machine translation for African languages},
  author={Abbott, Jade Z and Martinus, Laura},
  journal={arXiv preprint arXiv:1811.05467},
  year={2018}
}
@article{martinus2019focus,
  title={A Focus on Neural Machine Translation for African Languages},
  author={Martinus, Laura and Abbott, Jade Z},
  journal={arXiv preprint arXiv:1906.05685},
  year={2019}
}
@article{junczys2016neural,
  title={Is neural machine translation ready for deployment},
  author={Junczys-Dowmunt, Marcin and Dwojak, Tomasz and Hoang, Hieu},
  year={2016}
}
@article{yang2020survey,
  title={A Survey of Deep Learning Techniques for Neural Machine Translation},
  author={Yang, Shuoheng and Wang, Yuxin and Chu, Xiaowen},
  journal={arXiv preprint arXiv:2002.07526},
  year={2020}
}
@inproceedings{liu2019survey,
  title={A Survey of Low Resource Neural Machine Translation},
  author={Liu, Ding and Ma, Ning and Yang, Fangtao and Yang, Xuebin},
  booktitle={2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)},
  pages={39--393},
  year={2019},
  organization={IEEE}
}
@article{gibadullin2019survey,
  title={A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation},
  author={Gibadullin, Ilshat and Valeev, Aidar and Khusainova, Albina and Khan, Adil},
  journal={arXiv preprint arXiv:1910.00373},
  year={2019}
}
@article{dabre2019brief,
  title={A Brief Survey of Multilingual Neural Machine Translation},
  author={Dabre, Raj and Chu, Chenhui and Kunchukuttan, Anoop},
  journal={arXiv preprint arXiv:1905.05395},
  year={2019}
}
@article{dabre2020comprehensive,
  title={A Comprehensive Survey of Multilingual Neural Machine Translation},
  author={Dabre, Raj and Chu, Chenhui and Kunchukuttan, Anoop},
  journal={arXiv preprint arXiv:2001.01115},
  year={2020}
}
@article{alshemali2020improving,
  title={Improving the reliability of deep neural networks in NLP: A review},
  author={Alshemali, Basemah and Kalita, Jugal},
  journal={Knowledge-Based Systems},
  volume={191},
  pages={105210},
  year={2020},
  publisher={Elsevier}
}

% Active learning

@inproceedings{zhang2018active,
  title={Active learning for neural machine translation},
  author={Zhang, Pei and Xu, Xueying and Xiong, Deyi},
  booktitle={2018 International Conference on Asian Language Processing (IALP)},
  pages={153--158},
  year={2018},
  organization={IEEE}
}
% Multitasking reference
@article{zaremoodi2020learning,
  title={Learning to Multi-Task Learn for Better Neural Machine Translation},
  author={Zaremoodi, Poorya and Haffari, Gholamreza},
  journal={arXiv preprint arXiv:2001.03294},
  year={2020}
}
@article{srinivasan2019multitask,
  title={Multitask Learning For Different Subword Segmentations In Neural Machine Translation},
  author={Srinivasan, Tejas and Sanabria, Ramon and Metze, Florian},
  journal={arXiv preprint arXiv:1910.12368},
  year={2019}
}
@inproceedings{zaremoodi2018adaptive,
  title={Adaptive knowledge sharing in multi-task learning: Improving low-resource neural machine translation},
  author={Zaremoodi, Poorya and Buntine, Wray and Haffari, Gholamreza},
  booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  pages={656--661},
  year={2018}
}
@inproceedings{zaremoodi2018neural,
  title={Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach},
  author={Zaremoodi, Poorya and Haffari, Gholamreza},
  booktitle={Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
  pages={1356--1365},
  year={2018}
}
@article{baniata2018neural,
  title={A Neural Machine Translation Model for Arabic Dialects That Utilizes Multitask Learning (MTL)},
  author={Baniata, Laith H and Park, Seyoung and Park, Seong-Bae},
  journal={Computational intelligence and neuroscience},
  volume={2018},
  year={2018},
  publisher={Hindawi}
}
@article{baniata2018multitask,
  title={A multitask-based neural machine translation model with part-of-speech tags integration for arabic dialects},
  author={Baniata, Laith H and Park, Seyoung and Park, Seong-Bae},
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