Fetching the paper…
Reading the bibliography…
Automatic translation from signed to spoken languages is an interdisciplinary research domain, lying on the intersection of computer vision, machine translation and linguistics.
J. Forster, C. Schmidt, O. Koller, M. Bellgardt, and H. Ney, “Extensions of the sign language recognition and translation corpus rwth-phoenix-weather.” in LREC , 2014, pp. 1911–1916
1916
Earlier work this paper cites.
Z. Harris, “Distributional structure,” Word , vol. 10, no. 2-3, pp. 146–162, 1954. [Online]. Available: https://link.springer.com/chapter/10.1007/978-94-009-8467-7_1
1954
Earlier work this paper cites.
W. Stokoe, “Sign language structure: An outline of the visual communication systems of the american deaf,” Studies in Linguistics, Occasional Papers , vol. 8, 1960
1960
Earlier work this paper cites.
J. Firth, “A synopsis of linguistic theory 1930-1955,” in Studies in Linguistic Analysis . Philological Society, Oxford, 1957, reprinted in Palmer, F. (ed. 1968) Selected Papers of J. R. Firth, Longman, Harlow
1968
Earlier work this paper cites.
R. Battison, Lexical borrowing in American sign language. Silver Spring: Linstok Press, 1978
1978
Earlier work this paper cites.
V. Sutton, Sign writing for everyday use . Sutton Movement Writing Press, 1981
1981
Earlier work this paper cites.
S. Prillwitz, HamNoSys Version 2.0. Hamburg Notation System for Sign Languages: An Introductory Guide , ser. Intern. Arb. z. Gebärdensprache u. Kommunik. Signum Press, 1989. [Online]. Available: https://books.google.nl/books?id=4DlAOgAACAAJ
1989
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long Short-Term Memory,” Neural Computation , vol. 9, no. 8, pp. 1735–1780, 11 1997. [Online]. Available: https://doi.org/10.1162/neco.1997.9.8.1735
1997
Earlier work this paper cites.
J. Bungeroth and H. Ney, “Statistical sign language translation,” in Workshop on representation and processing of sign languages, LREC , vol. 4. Citeseer, 2004, pp. 105–108
2004
Earlier work this paper cites.
M. Vermeerbergen, “Past and current trends in sign language research,” Language & Communication , vol. 26, no. 2, pp. 168–192, 2006
2006
Earlier work this paper cites.
C. Callison-Burch, M. Osborne, and P. Koehn, “Re-evaluating the role of BLEU in machine translation research,” in 11th Conference of the European Chapter of the Association for Computational Linguistics , 2006
2006
Earlier work this paper cites.
M. Vermeerbergen, L. Leeson, and O. A. Crasborn, Simultaneity in signed languages: Form and function . John Benjamins Publishing, 2007, vol. 281
2007
Earlier work this paper cites.
S. Morrissey, A. Way, D. Stein, J. Bungeroth, and H. Ney, “Combining data-driven mt systems for improved sign language translation,” in European Association for Machine Translation , 2007
2007
Earlier work this paper cites.
D. Stein, P. Dreuw, H. Ney, S. Morrissey, and A. Way, “Hand in hand: automatic sign language to English translation,” in Proceedings of the 11th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages: Papers , Skövde, Sweden, Sep. 7-9 2007. [Online]. Available: https://aclanthology.org/2007.tmi-papers.26
2007
Earlier work this paper cites.
P. Dreuw, D. Stein, T. Deselaers, D. Rybach, M. Zahedi, J. Bungeroth, and H. Ney, “Spoken language processing techniques for sign language recognition and translation,” Technology and Disability , vol. 20, no. 2, pp. 121–133, 2008
2008
Earlier work this paper cites.
M. Van Herreweghe and M. Vermeerbergen, “Flemish sign language standardisation,” Current issues in language planning , vol. 10, no. 3, pp. 308–326, 2009
2009
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in 2009 IEEE conference on computer vision and pattern recognition . Ieee, 2009, pp. 248–255
2009
Earlier work this paper cites.
D. Stein, C. Schmidt, and H. Ney, “Sign language machine translation overkill,” in International Workshop on Spoken Language Translation (IWSLT) 2010 , 2010
2010
Earlier work this paper cites.
V. López, R. San-Segundo, R. Martín, J. M. Lucas, and J. D. Echeverry, “Spanish generation from spanish sign language using a phrase-based translation system,” technology , vol. 9, p. 10, 2010
2010
Earlier work this paper cites.
R. Bank, O. A. Crasborn, and R. Van Hout, “Variation in mouth actions with manual signs in Sign Language of the Netherlands (NGT),” Sign Language & Linguistics , vol. 14, no. 2, pp. 248–270, 2011
2011
Earlier work this paper cites.
P. Perniss, “19. use of sign space,” in Sign Language . De Gruyter Mouton, 2012, pp. 412–431
2012
Earlier work this paper cites.
I. Zwitserlood, Classifiers . De Gruyter Mouton, 2012, pp. 158–186. [Online]. Available: https://doi.org/10.1515/9783110261325.158
2012
Earlier work this paper cites.
N. Frishberg, N. Hoiting, and D. I. Slobin, Transcription . De Gruyter Mouton, 2012, pp. 1045–1075. [Online]. Available: https://doi.org/10.1515/9783110261325.1045
2012
Earlier work this paper cites.
D. Stein, C. Schmidt, and H. Ney, “Analysis, preparation, and optimization of statistical sign language machine translation,” Machine Translation , vol. 26, no. 4, pp. 325–357, 2012
2012
Earlier work this paper cites.
J. Forster, C. Schmidt, T. Hoyoux, O. Koller, U. Zelle, J. H. Piater, and H. Ney, “Rwth-phoenix-weather: A large vocabulary sign language recognition and translation corpus.” in LREC , vol. 9, 2012, pp. 3785–3789
2012
Earlier work this paper cites.
A. Othman and M. Jemni, “English-asl gloss parallel corpus 2012: Aslg-pc12,” in 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon LREC , 2012
2012
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” Advances in neural information processing systems , vol. 25, pp. 1097–1105, 2012
2012
Earlier work this paper cites.
M. Vermeerbergen, J. N. Twilhaar, and M. Van Herreweghe, “Variation between and within sign language of the netherlands and flemish sign language,” in Language and Space Volume 30 (3): Dutch . Berlin: De Gruyter Mouton, 2013, pp. 680–699
2013
Earlier work this paper cites.
C. Schmidt, O. Koller, H. Ney, T. Hoyoux, and J. Piater, “Using viseme recognition to improve a sign language translation system,” in International Workshop on Spoken Language Translation . Citeseer, 2013, pp. 197–203
2013
Earlier work this paper cites.
I. Sutskever, O. Vinyals, and Q. V. Le, “Sequence to sequence learning with neural networks,” in Advances in neural information processing systems , 2014, pp. 3104–3112
2014
Earlier work this paper cites.
K. Cho, B. van Merriënboer, Ç. Gülçehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio, “Learning phrase representations using RNN encoder–decoder for statistical machine translation,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing , Doha, Qatar, 2014, pp. 1724–1734
2014
Cited alongside, same era.
J. Pennington, R. Socher, and C. D. Manning, “Glove: Global vectors for word representation,” in Empirical Methods in Natural Language Processing (EMNLP) , 2014, pp. 1532–1543. [Online]. Available: http://www.aclweb.org/anthology/D14-1162
2014
Cited alongside, same era.
D. Bahdanau, K. H. Cho, and Y. Bengio, “Neural machine translation by jointly learning to align and translate,” in 3rd International Conference on Learning Representations, ICLR 2015 , 2015
2015
Cited alongside, same era.
T. Luong, H. Pham, and C. D. Manning, “Effective approaches to attention-based neural machine translation,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing . Lisbon, Portugal: Association for Computational Linguistics, Sep. 2015, pp. 1412–1421. [Online]. Available: https://aclanthology.org/D15-1166
A. Orbay and L. Akarun, “Neural sign language translation by learning tokenization,” in 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) . IEEE, 2020, pp. 222–228
2020
Later among the works it cites.
S. Kim, C. J. Kim, H.-M. Park, Y. Jeong, J. Y. Jang, and H. Jung, “Robust keypoint normalization method for korean sign language translation using transformer,” in 2020 International Conference on Information and Communication Technology Convergence (ICTC) . IEEE, 2020, pp. 1303–1305
2020
Later among the works it cites.
J. Rodriguez, J. Chacon, E. Rangel, L. Guayacan, C. Hernandez, L. Hernandez, and F. Martinez, “Understanding motion in sign language: A new structured translation dataset,” in Proceedings of the Asian Conference on Computer Vision , 2020
2020
Later among the works it cites.
H. Partaourides, A. Voskou, D. Kosmopoulos, S. Chatzis, and D. N. Metaxas, “Variational bayesian sequence-to-sequence networks for memory-efficient sign language translation,” in International Symposium on Visual Computing . Springer, 2020, pp. 251–262
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2015
Cited alongside, same era.
M. Erard, “Why sign language gloves don’t help deaf people,” 2017. [Online]. Available: https://www.theatlantic.com/technology/archive/2017/11/why-sign-language-gloves-dont-help-deaf-people/545441/
2017
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in Advances in neural information processing systems , 2017, pp. 5998–6008
2017
Cited alongside, same era.
N. C. Camgoz, S. Hadfield, O. Koller, H. Ney, and R. Bowden, “Neural sign language translation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 7784–7793
2018
Cited alongside, same era.
D. Guo, W. Zhou, H. Li, and M. Wang, “Hierarchical lstm for sign language translation,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 32, no. 1, 2018
2018
Cited alongside, same era.
S. S. Kumar, T. Wangyal, V. Saboo, and R. Srinath, “Time series neural networks for real time sign language translation,” in 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) . IEEE, 2018, pp. 243–248
2018
Cited alongside, same era.
I. E. Murtagh, “A linguistically motivated computational framework for irish sign language,” Ph.D. dissertation, Trinity College Dublin.School of Linguistic Speech and Comm Sci, 2019
2019
Cited alongside, same era.
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” in 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) . Minneapolis, Minnesota: Association for Computational Linguistics, Jun. 2019, pp. 4171–4186. [Online]. Available: https://www.aclweb.org/anthology/N19-1423
2019
Cited alongside, same era.
Z. Cao, G. Hidalgo, T. Simon, S.-E. Wei, and Y. Sheikh, “Openpose: realtime multi-person 2d pose estimation using part affinity fields,” IEEE transactions on pattern analysis and machine intelligence , vol. 43, no. 1, pp. 172–186, 2019
2019
Cited alongside, same era.
2020
Later among the works it cites.
S. Z. Moe, Y. K. Thu, H. A. Thant, N. W. Min, and T. Supnithi, “Unsupervised neural machine translation between myanmar sign language and myanmar language,” tic , vol. 14, no. 15, p. 16, 2020
2020
Later among the works it cites.
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, C. Ma, Y. Jernite, J. Plu, C. Xu, T. Le Scao, S. Gugger, M. Drame, Q. Lhoest, and A. M. Rush, “Transformers: State-of-the-Art Natural Language Processing,” pp. 38–45, 10 2020. [Online]. Available: https://www.aclweb.org/anthology/2020.emnlp-demos.6
2020
Later among the works it cites.
T. Chen, S. Kornblith, M. Norouzi, and G. Hinton, “A simple framework for contrastive learning of visual representations,” in International conference on machine learning . PMLR, 2020, pp. 1597–1607
2020
Later among the works it cites.
J.-B. Grill, F. Strub, F. Altché, C. Tallec, P. Richemond, E. Buchatskaya, C. Doersch, B. Pires, Z. Guo, M. Azar et al. , “Bootstrap your own latent: A new approach to self-supervised learning,” in Neural Information Processing Systems , 2020
2020
Later among the works it cites.
A. Baevski, Y. Zhou, A. Mohamed, and M. Auli, “wav2vec 2.0: A framework for self-supervised learning of speech representations,” Advances in Neural Information Processing Systems , vol. 33, 2020
2020
Later among the works it cites.
O. M. Sincan and H. Y. Keles, “Autsl: A large scale multi-modal turkish sign language dataset and baseline methods,” IEEE Access , vol. 8, pp. 181 340–181 355, 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
R. Schwartz, J. Dodge, N. A. Smith, and O. Etzioni, “Green ai,” Communications of the ACM , vol. 63, pp. 54 – 63, 2020
2020
Later among the works it cites.
M. De Sisto, D. Shterionov, I. Murtagh, M. Vermeerbergen, and L. Leeson, “Defining meaningful units. challenges in sign segmentation and segment-meaning mapping,” in Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) . Virtual: Association for Machine Translation in the Americas, Aug. 2021, pp. 98–103. [Online]. Available: https://aclanthology.org/2021.mtsummit-at4ssl.11
2021
Later among the works it cites.
J. Zhao, W. Qi, W. Zhou, D. Nan, M. Zhou, and H. Li, “Conditional sentence generation and cross-modal reranking for sign language translation,” IEEE Transactions on Multimedia , 2021
2021
Later among the works it cites.
H. Zhou, W. Zhou, W. Qi, J. Pu, and H. Li, “Improving sign language translation with monolingual data by sign back-translation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 1316–1325
2021
Later among the works it cites.
H. Zhou, W. Zhou, Y. Zhou, and H. Li, “Spatial-temporal multi-cue network for sign language recognition and translation,” IEEE Transactions on Multimedia , 2021
2021
Later among the works it cites.
M. De Coster, K. D’Oosterlinck, M. Pizurica, P. Rabaey, S. Verlinden, M. Van Herreweghe, and J. Dambre, “Frozen pretrained transformers for neural sign language translation,” in Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) . Virtual: Association for Machine Translation in the Americas, Aug. 2021, pp. 88–97. [Online]. Available: https://aclanthology.org/2021.mtsummit-at4ssl.10
2021
Later among the works it cites.
J. Rodriguez and F. Martinez, “How important is motion in sign language translation?” IET Computer Vision , vol. 15, no. 3, pp. 224–234, 2021
2021
Later among the works it cites.
A. Moryossef, K. Yin, G. Neubig, and Y. Goldberg, “Data augmentation for sign language gloss translation,” in Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) . Virtual: Association for Machine Translation in the Americas, Aug. 2021, pp. 1–11. [Online]. Available: https://aclanthology.org/2021.mtsummit-at4ssl.1
2021
Later among the works it cites.
X. Zhang and K. Duh, “Approaching sign language gloss translation as a low-resource machine translation task,” in Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) . Virtual: Association for Machine Translation in the Americas, Aug. 2021, pp. 60–70. [Online]. Available: https://aclanthology.org/2021.mtsummit-at4ssl.7
2021
Later among the works it cites.
A. Moryossef, I. Tsochantaridis, J. Dinn, N. C. Camgoz, R. Bowden, T. Jiang, A. Rios, M. Muller, and S. Ebling, “Evaluating the immediate applicability of pose estimation for sign language recognition,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 3434–3440
2021
Later among the works it cites.
M. De Coster, M. Van Herreweghe, and J. Dambre, “Isolated sign recognition from rgb video using pose flow and self-attention,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 3441–3450
2021
Later among the works it cites.
M. Caron, H. Touvron, I. Misra, H. Jégou, J. Mairal, P. Bojanowski, and A. Joulin, “Emerging properties in self-supervised vision transformers,” in Proceedings of the International Conference on Computer Vision (ICCV) , 2021
2021
Later among the works it cites.
M. De Meulder, “Is “good enough” good enough? ethical and responsible development of sign language technologies,” in Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) . Virtual: Association for Machine Translation in the Americas, Aug. 2021, pp. 12–22. [Online]. Available: https://aclanthology.org/2021.mtsummit-at4ssl.2
2021
Later among the works it cites.
E. Vanmassenhove, D. Shterionov, and M. Gwilliam, “Machine translationese: Effects of algorithmic bias on linguistic complexity in machine translation,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021 , P. Merlo, J. Tiedemann, and R. Tsarfaty, Eds. Association for Computational Linguistics, 2021, pp. 2203–2213. [Online]. Available: https://aclanthology.org/2021.eacl-main.188/
2021
Later among the works it cites.
2021
Later among the works it cites.
R. Wolfe, J. Mcdonald, E. Efthimiou, E. Fotinea, F. Picron, D. Van Landuyt, T. Sioen, A. Braffort, M. Filhol, S. Ebling et al. , “The myth of signing avatars,” in 1st International Workshop on Automatic Translation for Signed and Spoken Languages , 2021
2021
Later among the works it cites.
D. Shterionov, V. Vandeghinste, H. Saggion, J. Blat, M. De Coster, J. Dambre, H. van den Heuvel, I. Murtagh, L. Leeson, and I. Schuurman, “The SignON project: a Sign Language Translation Framework,” in 31st Meeting of Computational Linguists in The Netherlands (CLIN) , 2021
2021
Later among the works it cites.
2021
Later among the works it cites.