Neural machine translation (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Neural machine translation" in English language version.

refsWebsite

Global rank English rank

15doi.org

2^nd place

12arxiv.org

69^th place

59^th place

9aclanthology.org

low place

2harvard.edu

18^th place

17^th place

2worldcat.org

5^th place

2neurips.cc

low place

2nih.gov

4^th place

1statmt.org

low place

1handle.net

102^nd place

76^th place

1deeplearningbook.org

low place

1researchgate.net

120^th place

125^th place

1figshare.com

5,893^rd place

3,320^th place

1isca-speech.org

low place

1aclweb.org

low place

6,793^rd place

1sciencedirect.com

149^th place

178^th place

1web.archive.org

1^st place

1fbk.eu

low place

1microsoft.com

153^rd place

151^st place

1techcrunch.com

187^th place

146^th place

1lemonde.fr

83^rd place

603^rd place

1golem.de

3,168^th place

low place

1nips.cc

low place

7,050^th place

1github.com

383^rd place

320^th place

1berkeley.edu

580^th place

462^nd place

1openai.com

1,559^th place

1,155^th place

aclanthology.org

Haddow, Barry; Bawden, Rachel; Miceli Barone, Antonio Valerio; Helcl, Jindřich; Birch, Alexandra (2022). "Survey of Low-Resource Machine Translation". Computational Linguistics. 48 (3): 673–732. arXiv:2109.00486. doi:10.1162/coli_a_00446.
Poibeau, Thierry (2022). Calzolari, Nicoletta; Béchet, Frédéric; Blache, Philippe; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Isahara, Hitoshi; Maegaard, Bente (eds.). "On "Human Parity" and "Super Human Performance" in Machine Translation Evaluation". Proceedings of the Thirteenth Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association: 6018–6023.
Castaño, Asunción; Casacuberta, Francisco; Vidal, Enrique (1997-07-23). Machine translation using neural networks and finite-state models. Proceedings of the 7th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages. St John's College, Santa Fe.
Schwenk, Holger; Dechelotte, Daniel; Gauvain, Jean-Luc (2006). Continuous Space Language Models for Statistical Machine Translation. Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions. Sydney, Australia. pp. 723–730.
Schwenk, Holger (2012). Continuous Space Translation Models for Phrase-Based Statistical Machine Translation. Proceedings of COLING 2012: Posters. Mumbai, India. pp. 1071–1080.
Gehring, Jonas; Auli, Michael; Grangier, David; Dauphin, Yann (2017). A Convolutional Encoder Model for Neural Machine Translation. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vancouver, Canada: Association for Computational Linguistics. pp. 123–135. arXiv:1611.02344. doi:10.18653/v1/P17-1012.
Kocmi, Tom; Bawden, Rachel; Bojar, Ondřej; Dvorkovich, Anton; Federmann, Christian; Fishel, Mark; Gowda, Thamme; Graham, Yvette; Grundkiewicz, Roman; Haddow, Barry; Knowles, Rebecca; Koehn, Philipp; Monz, Christof; Morishita, Makoto; Nagata, Masaaki (2022). Koehn, Philipp; Barrault, Loïc; Bojar, Ondřej; Bougares, Fethi; Chatterjee, Rajen; Costa-jussà, Marta R.; Federmann, Christian; Fishel, Mark; Fraser, Alexander (eds.). Findings of the 2022 Conference on Machine Translation (WMT22). Proceedings of the Seventh Conference on Machine Translation (WMT). Abu Dhabi, United Arab Emirates (Hybrid): Association for Computational Linguistics. pp. 1–45.
Kocmi, Tom; Avramidis, Eleftherios; Bawden, Rachel; Bojar, Ondřej; Dvorkovich, Anton; Federmann, Christian; Fishel, Mark; Freitag, Markus; Gowda, Thamme; Grundkiewicz, Roman; Haddow, Barry; Koehn, Philipp; Marie, Benjamin; Monz, Christof; Morishita, Makoto (2023). Koehn, Philipp; Haddow, Barry; Kocmi, Tom; Monz, Christof (eds.). Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. Proceedings of the Eighth Conference on Machine Translation. Singapore: Association for Computational Linguistics. pp. 1–42. doi:10.18653/v1/2023.wmt-1.1.
Federico, Marcello; Cettolo, Mauro (2007). Callison-Burch, Chris; Koehn, Philipp; Fordyce, Cameron Shaw; Monz, Christof (eds.). "Efficient Handling of N-gram Language Models for Statistical Machine Translation". Proceedings of the Second Workshop on Statistical Machine Translation. Prague, Czech Republic: Association for Computational Linguistics: 88–95. doi:10.3115/1626355.1626367.

aclweb.org

Kalchbrenner, Nal; Blunsom, Philip (2013). "Recurrent Continuous Translation Models". Proceedings of the Association for Computational Linguistics: 1700–1709.

arxiv.org

Stahlberg, Felix (2020-09-29). "Neural Machine Translation: A Review and Survey". arXiv:1912.02047v2 [cs.CL].
Haddow, Barry; Bawden, Rachel; Miceli Barone, Antonio Valerio; Helcl, Jindřich; Birch, Alexandra (2022). "Survey of Low-Resource Machine Translation". Computational Linguistics. 48 (3): 673–732. arXiv:2109.00486. doi:10.1162/coli_a_00446.
Tan, Zhixing; Wang, Shuo; Yang, Zonghan; Chen, Gang; Huang, Xuancheng; Sun, Maosong; Liu, Yang (2020-12-31). "Neural Machine Translation: A Review of Methods, Resources, and Tools". arXiv:2012.15515 [cs.CL].
Yang, Shuoheng; Wang, Yuxin; Chu, Xiaowen (2020-02-18). "A Survey of Deep Learning Techniques for Neural Machine Translation". arXiv:2002.07526 [cs.CL].
Cho, Kyunghyun; van Merriënboer, Bart; Gulcehre, Caglar; Bahdanau, Dzmitry; Bougares, Fethi; Schwenk, Holger; Bengio, Yoshua (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Doha, Qatar: Association for Computational Linguistics. pp. 1724–1734. arXiv:1406.1078. doi:10.3115/v1/D14-1179.
Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409.3215.
Cho, Kyunghyun; van Merriënboer, Bart; Bahdanau, Dzmitry; Bengio, Yoshua (2014). On the Properties of Neural Machine Translation: Encoder–Decoder Approaches. Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation. Doha, Qatar: Association for Computational Linguistics. pp. 103–111. arXiv:1409.1259. doi:10.3115/v1/W14-4012.
Bahdanau, Dzmitry; Cho, Kyunghyun; Bengio, Yoshua (2014). "Neural Machine Translation by Jointly Learning to Align and Translate". arXiv:1409.0473 [cs.CL].
Wu, Yonghui; Schuster, Mike; Chen, Zhifeng; Le, Quoc V.; Norouzi, Mohammad; Macherey, Wolfgang; Krikun, Maxim; Cao, Yuan; Gao, Qin; Macherey, Klaus; Klingner, Jeff; Shah, Apurva; Johnson, Melvin; Liu, Xiaobing; Kaiser, Łukasz (2016). "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation". arXiv:1609.08144 [cs.CL].
Gehring, Jonas; Auli, Michael; Grangier, David; Dauphin, Yann (2017). A Convolutional Encoder Model for Neural Machine Translation. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vancouver, Canada: Association for Computational Linguistics. pp. 123–135. arXiv:1611.02344. doi:10.18653/v1/P17-1012.
Liu, Yinhan; Gu, Jiatao; Goyal, Naman; Li, Xian; Edunov, Sergey; Ghazvininejad, Marjan; Lewis, Mike; Zettlemoyer, Luke (2020). "Multilingual Denoising Pre-training for Neural Machine Translation". Transactions of the Association for Computational Linguistics. 8: 726–742. arXiv:2001.08210. doi:10.1162/tacl_a_00343.
Hendy, Amr; Abdelrehim, Mohamed; Sharaf, Amr; Raunak, Vikas; Gabr, Mohamed; Matsushita, Hitokazu; Kim, Young Jin; Afify, Mohamed; Awadalla, Hany (2023-02-18). "How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation". arXiv:2302.09210 [cs.CL].

berkeley.edu

aima.cs.berkeley.edu

Russell, Stuart; Norvig, Peter. Artificial Intelligence: A Modern Approach (4th, global ed.). Pearson.

deeplearningbook.org

Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron (2016). "12.4.5 Neural Machine Translation". Deep Learning. MIT Press. pp. 468–471. Retrieved 2022-12-29.

doi.org

Popel, Martin; Tomkova, Marketa; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk (2020-09-01). "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals". Nature Communications. 11 (1): 4381. Bibcode:2020NatCo..11.4381P. doi:10.1038/s41467-020-18073-9. hdl:11346/BIBLIO@id=368112263610994118. ISSN 2041-1723. PMC 7463233. PMID 32873773.
Haddow, Barry; Bawden, Rachel; Miceli Barone, Antonio Valerio; Helcl, Jindřich; Birch, Alexandra (2022). "Survey of Low-Resource Machine Translation". Computational Linguistics. 48 (3): 673–732. arXiv:2109.00486. doi:10.1162/coli_a_00446.
Chrisman, Lonnie (1991). "Learning Recursive Distributed Representations for Holistic Computation". Connection Science. 3 (4): 345–366. doi:10.1080/09540099108946592. ISSN 0954-0091.
Pollack, Jordan B. (1990). "Recursive distributed representations". Artificial Intelligence. 46 (1): 77–105. doi:10.1016/0004-3702(90)90005-K.
Forcada, Mikel L.; Ñeco, Ramón P. (1997). "Recursive hetero-associative memories for translation". Biological and Artificial Computation: From Neuroscience to Technology. Lecture Notes in Computer Science. Vol. 1240. pp. 453–462. doi:10.1007/BFb0032504. ISBN 978-3-540-63047-0.
Castaño, Asunción; Casacuberta, Francisco (1997). A connectionist approach to machine translation. 5th European Conference on Speech Communication and Technology (Eurospeech 1997). Rhodes, Greece. pp. 91–94. doi:10.21437/Eurospeech.1997-50.
Schwenk, Holger (2007). "Contiuous space language models". Computer Speech and Language. 3 (21): 492–518. doi:10.1016/j.csl.2006.09.003.
Cho, Kyunghyun; van Merriënboer, Bart; Gulcehre, Caglar; Bahdanau, Dzmitry; Bougares, Fethi; Schwenk, Holger; Bengio, Yoshua (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Doha, Qatar: Association for Computational Linguistics. pp. 1724–1734. arXiv:1406.1078. doi:10.3115/v1/D14-1179.
Cho, Kyunghyun; van Merriënboer, Bart; Bahdanau, Dzmitry; Bengio, Yoshua (2014). On the Properties of Neural Machine Translation: Encoder–Decoder Approaches. Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation. Doha, Qatar: Association for Computational Linguistics. pp. 103–111. arXiv:1409.1259. doi:10.3115/v1/W14-4012.
Wang, Haifeng; Wu, Hua; He, Zhongjun; Huang, Liang; Church, Kenneth Ward (2022-11-01). "Progress in Machine Translation". Engineering. 18: 143–153. Bibcode:2022Engin..18..143W. doi:10.1016/j.eng.2021.03.023.
Gehring, Jonas; Auli, Michael; Grangier, David; Dauphin, Yann (2017). A Convolutional Encoder Model for Neural Machine Translation. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vancouver, Canada: Association for Computational Linguistics. pp. 123–135. arXiv:1611.02344. doi:10.18653/v1/P17-1012.
Kocmi, Tom; Avramidis, Eleftherios; Bawden, Rachel; Bojar, Ondřej; Dvorkovich, Anton; Federmann, Christian; Fishel, Mark; Freitag, Markus; Gowda, Thamme; Grundkiewicz, Roman; Haddow, Barry; Koehn, Philipp; Marie, Benjamin; Monz, Christof; Morishita, Makoto (2023). Koehn, Philipp; Haddow, Barry; Kocmi, Tom; Monz, Christof (eds.). Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. Proceedings of the Eighth Conference on Machine Translation. Singapore: Association for Computational Linguistics. pp. 1–42. doi:10.18653/v1/2023.wmt-1.1.
Liu, Yinhan; Gu, Jiatao; Goyal, Naman; Li, Xian; Edunov, Sergey; Ghazvininejad, Marjan; Lewis, Mike; Zettlemoyer, Luke (2020). "Multilingual Denoising Pre-training for Neural Machine Translation". Transactions of the Association for Computational Linguistics. 8: 726–742. arXiv:2001.08210. doi:10.1162/tacl_a_00343.
Federico, Marcello; Cettolo, Mauro (2007). Callison-Burch, Chris; Koehn, Philipp; Fordyce, Cameron Shaw; Monz, Christof (eds.). "Efficient Handling of N-gram Language Models for Statistical Machine Translation". Proceedings of the Second Workshop on Statistical Machine Translation. Prague, Czech Republic: Association for Computational Linguistics: 88–95. doi:10.3115/1626355.1626367.

dx.doi.org

Pollack, Jordan B. (1990). "Recursive distributed representations". Artificial Intelligence. 46 (1): 77–105. doi:10.1016/0004-3702(90)90005-K.

fbk.eu

cris.fbk.eu

Bojar, Ondrej; Chatterjee, Rajen; Federmann, Christian; Graham, Yvette; Haddow, Barry; Huck, Matthias; Yepes, Antonio Jimeno; Koehn, Philipp; Logacheva, Varvara; Monz, Christof; Negri, Matteo; Névéol, Aurélie; Neves, Mariana; Popel, Martin; Post, Matt; Rubino, Raphael; Scarton, Carolina; Specia, Lucia; Turchi, Marco; Verspoor, Karin; Zampieri, Marcos (2016). "Findings of the 2016 Conference on Machine Translation" (PDF). ACL 2016 First Conference on Machine Translation (WMT16). The Association for Computational Linguistics: 131–198. Archived from the original (PDF) on 2018-01-27. Retrieved 2018-01-27.

figshare.com

Chrisman, Lonnie (1991). "Learning Recursive Distributed Representations for Holistic Computation". Connection Science. 3 (4): 345–366. doi:10.1080/09540099108946592. ISSN 0954-0091.

github.com

"GPT 3 dataset statistics: languages by character count". OpenAI. 2020-06-01. Retrieved 2023-12-23.

golem.de

Pakalski, Ingo (2017-08-29). "DeepL im Hands On: Neues Tool übersetzt viel besser als Google und Microsoft". Golem. Retrieved 2023-01-10.

handle.net

hdl.handle.net

Popel, Martin; Tomkova, Marketa; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk (2020-09-01). "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals". Nature Communications. 11 (1): 4381. Bibcode:2020NatCo..11.4381P. doi:10.1038/s41467-020-18073-9. hdl:11346/BIBLIO@id=368112263610994118. ISSN 2041-1723. PMC 7463233. PMID 32873773.

harvard.edu

ui.adsabs.harvard.edu

Popel, Martin; Tomkova, Marketa; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk (2020-09-01). "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals". Nature Communications. 11 (1): 4381. Bibcode:2020NatCo..11.4381P. doi:10.1038/s41467-020-18073-9. hdl:11346/BIBLIO@id=368112263610994118. ISSN 2041-1723. PMC 7463233. PMID 32873773.
Wang, Haifeng; Wu, Hua; He, Zhongjun; Huang, Liang; Church, Kenneth Ward (2022-11-01). "Progress in Machine Translation". Engineering. 18: 143–153. Bibcode:2022Engin..18..143W. doi:10.1016/j.eng.2021.03.023.

isca-speech.org

Castaño, Asunción; Casacuberta, Francisco (1997). A connectionist approach to machine translation. 5th European Conference on Speech Communication and Technology (Eurospeech 1997). Rhodes, Greece. pp. 91–94. doi:10.21437/Eurospeech.1997-50.

lemonde.fr

Leloup, Damien; Larousserie, David (2022-08-29). "Quel est le meilleur service de traduction en ligne?". Le Monde. Retrieved 2023-01-10.

microsoft.com

Translator, Microsoft (2018-04-18). "Microsoft brings AI-powered translation to end users and developers, whether you're online or offline". Microsoft Translator Blog. Retrieved 2024-04-19. {{cite web}}: |last= has generic name (help)

neurips.cc

proceedings.neurips.cc

Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409.3215.
Brown, Tom; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared D; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini; Herbert-Voss, Ariel; Krueger, Gretchen; Henighan, Tom; Child, Rewon (2020). "Language Models are Few-Shot Learners". Advances in Neural Information Processing Systems. 33. Curran Associates, Inc.: 1877–1901.

nih.gov

ncbi.nlm.nih.gov

Popel, Martin; Tomkova, Marketa; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk (2020-09-01). "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals". Nature Communications. 11 (1): 4381. Bibcode:2020NatCo..11.4381P. doi:10.1038/s41467-020-18073-9. hdl:11346/BIBLIO@id=368112263610994118. ISSN 2041-1723. PMC 7463233. PMID 32873773.

pubmed.ncbi.nlm.nih.gov

Popel, Martin; Tomkova, Marketa; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk (2020-09-01). "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals". Nature Communications. 11 (1): 4381. Bibcode:2020NatCo..11.4381P. doi:10.1038/s41467-020-18073-9. hdl:11346/BIBLIO@id=368112263610994118. ISSN 2041-1723. PMC 7463233. PMID 32873773.

nips.cc

papers.nips.cc

Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Gomez, Aidan N.; Kaiser, Łukasz; Polosukhin, Illia (2017). Attention Is All You Need. Advances in Neural Information Processing Systems 30 (NIPS 2017). pp. 5998–6008.

openai.com

cdn.openai.com

Radford, Alec; Narasimhan, Karthik; Salimans, Tim; Sutskever, Ilya (2018). Improving Language Understanding by Generative Pre-Training (PDF) (Technical report). OpenAI. Retrieved 2023-12-26.

researchgate.net

Allen, Robert B. (1987). Several Studies on Natural Language and Back-Propagation. IEEE First International Conference on Neural Networks. Vol. 2. San Diego. pp. 335–341. Retrieved 2022-12-30.

sciencedirect.com

Wang, Haifeng; Wu, Hua; He, Zhongjun; Huang, Liang; Church, Kenneth Ward (2022-11-01). "Progress in Machine Translation". Engineering. 18: 143–153. Bibcode:2022Engin..18..143W. doi:10.1016/j.eng.2021.03.023.

statmt.org

www2.statmt.org

Koehn, Philipp (2020). Neural Machine Translation. Cambridge University Press.

techcrunch.com

Coldewey, Devin (2017-08-29). "DeepL schools other online translators with clever machine learning". TechCrunch. Retrieved 2023-12-26.

web.archive.org

Bojar, Ondrej; Chatterjee, Rajen; Federmann, Christian; Graham, Yvette; Haddow, Barry; Huck, Matthias; Yepes, Antonio Jimeno; Koehn, Philipp; Logacheva, Varvara; Monz, Christof; Negri, Matteo; Névéol, Aurélie; Neves, Mariana; Popel, Martin; Post, Matt; Rubino, Raphael; Scarton, Carolina; Specia, Lucia; Turchi, Marco; Verspoor, Karin; Zampieri, Marcos (2016). "Findings of the 2016 Conference on Machine Translation" (PDF). ACL 2016 First Conference on Machine Translation (WMT16). The Association for Computational Linguistics: 131–198. Archived from the original (PDF) on 2018-01-27. Retrieved 2018-01-27.

worldcat.org

search.worldcat.org

Popel, Martin; Tomkova, Marketa; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk (2020-09-01). "Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals". Nature Communications. 11 (1): 4381. Bibcode:2020NatCo..11.4381P. doi:10.1038/s41467-020-18073-9. hdl:11346/BIBLIO@id=368112263610994118. ISSN 2041-1723. PMC 7463233. PMID 32873773.
Chrisman, Lonnie (1991). "Learning Recursive Distributed Representations for Holistic Computation". Connection Science. 3 (4): 345–366. doi:10.1080/09540099108946592. ISSN 0954-0091.