{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T06:45:48Z","timestamp":1771915548648,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819500055","type":"print"},{"value":"9789819500062","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-95-0006-2_15","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T07:36:19Z","timestamp":1753342579000},"page":"174-185","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EEGTCT: Electroencephalogram-Based Chinese Text Decoding"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1583-5737","authenticated-orcid":false,"given":"Sibo","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8614-7350","authenticated-orcid":false,"given":"Bihui","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8520-6347","authenticated-orcid":false,"given":"Jingxuan","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0363-3607","authenticated-orcid":false,"given":"Linzhuang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4551-0907","authenticated-orcid":false,"given":"Liping","family":"Bu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"issue":"3","key":"15_CR1","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1631\/FITEE.1601509","volume":"19","author":"M Shi","year":"2018","unstructured":"Shi, M., Zhou, C., Xie, J., et al.: Electroencephalogram-based brain-computer interface for the Chinese spelling system: a survey. Front. Inf. Technol. Electron. Eng. 19(3), 423\u2013436 (2018)","journal-title":"Front. Inf. Technol. Electron. Eng."},{"issue":"17","key":"15_CR2","doi-asserted-by":"publisher","first-page":"5746","DOI":"10.3390\/s21175746","volume":"21","author":"MF Mridha","year":"2021","unstructured":"Mridha, M.F., Das, S.C., Kabir, M.M., et al.: Brain-computer interface: advancement and challenges. Sensors 21(17), 5746 (2021)","journal-title":"Sensors"},{"issue":"1","key":"15_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/sdata.2018.291","volume":"5","author":"N Hollenstein","year":"2018","unstructured":"Hollenstein, N., Rotsztejn, J., Troendle, M., et al.: ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading. Sci. Data 5(1), 1\u201313 (2018)","journal-title":"Sci. Data"},{"key":"15_CR4","unstructured":"Hollenstein, N., Troendle, M., Zhang, C., Langer, N.: ZuCo 2.0: a dataset of physiological recordings during natural reading and annotation. In: Proceedings of the Twelfth Language Resources and Evaluation Conference, pp. 138\u2013146 (2020)"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Wang, Z., Ji, H.: Open vocabulary electroencephalography-to-text decoding and zero-shot sentiment classification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 5, pp. 5350\u20135358 (2022)","DOI":"10.1609\/aaai.v36i5.20472"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"3874","DOI":"10.1109\/TNSRE.2023.3314642","volume":"31","author":"X Feng","year":"2023","unstructured":"Feng, X., Feng, X., Qin, B., et al.: Aligning semantic in brain and language: a curriculum contrastive method for electroencephalography-to-text generation. IEEE Trans. Neural Syst. Rehabil. Eng. 31, 3874\u20133883 (2023)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"15_CR7","first-page":"9907","volume":"36","author":"Y Duan","year":"2023","unstructured":"Duan, Y., Zhou, J., Wang, Z., et al.: Dewave: discrete encoding of EEG waves for EEG to text translation. Adv. Neural. Inf. Process. Syst. 36, 9907\u20139918 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"18","key":"15_CR8","doi-asserted-by":"publisher","first-page":"6975","DOI":"10.3390\/s22186975","volume":"22","author":"U Shah","year":"2022","unstructured":"Shah, U., Alzubaidi, M., Mohsen, F., et al.: The role of artificial intelligence in decoding speech from EEG signals: a scoping review. Sensors. 22(18), 6975 (2022)","journal-title":"Sensors."},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"867281","DOI":"10.3389\/fnhum.2022.867281","volume":"16","author":"D Lopez-Bernal","year":"2022","unstructured":"Lopez-Bernal, D., Balderas, D., Ponce, P., et al.: A state-of-the-art review of EEG-based imagined speech decoding. Front. Hum. Neurosci. 16, 867281 (2022)","journal-title":"Front. Hum. Neurosci."},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"135371","DOI":"10.1109\/ACCESS.2021.3116196","volume":"9","author":"JT Panachakel","year":"2021","unstructured":"Panachakel, J.T., Ganesan, R.A.: Decoding imagined speech from EEG using transfer learning. IEEE Access. 9, 135371\u2013135383 (2021)","journal-title":"IEEE Access."},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Zhao, S., Rudzicz, F.: Classifying phonological categories in imagined and articulated speech. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 992\u2013996 (2015)","DOI":"10.1109\/ICASSP.2015.7178118"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Cooney, C., Folli, R., Coyle, D.: Mel frequency cepstral coefficients enhance imagined speech decoding accuracy from EEG. In: 2018 29th Irish Signals and Systems Conference (ISSC), pp. 1\u20137 (2018)","DOI":"10.1109\/ISSC.2018.8585291"},{"issue":"3","key":"15_CR13","first-page":"234","volume":"4","author":"EA Mohamed","year":"2014","unstructured":"Mohamed, E.A., Yusoff, M.Z.B., Selman, N.K., et al.: Enhancing EEG signals in brain computer interface using wavelet transform. Int. J. Inf. Electron. Eng. 4(3), 234 (2014)","journal-title":"Int. J. Inf. Electron. Eng."},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Ilyas, M.Z., Saad, P., Ahmad, M.I.: A survey of analysis and classification of EEG signals for brain-computer interfaces. In: 2015 2nd International Conference on Biomedical Engineering (ICoBE), pp. 1\u20136 (2015)","DOI":"10.1109\/ICoBE.2015.7235129"},{"issue":"2","key":"15_CR15","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1109\/LSP.2017.2783351","volume":"25","author":"HR Hou","year":"2017","unstructured":"Hou, H.R., Meng, Q.H., Zeng, M., et al.: Improving classification of slow cortical potential signals for BCI systems with polynomial fitting and voting support vector machine. IEEE Signal Process. Lett. 25(2), 283\u2013287 (2017)","journal-title":"IEEE Signal Process. Lett."},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Rashid, M., Sulaiman, N., Mustafa, M., et al.: The classification of EEG signal using different machine learning techniques for BCI application. In: Robot Intelligence Technology and Applications: 6th International Conference, RiTA 2018, Kuala Lumpur, Malaysia, 16\u201318 December 2018, Revised Selected Papers 6, pp. 207\u2013221. Springer, Singapore (2019)","DOI":"10.1007\/978-981-13-7780-8_17"},{"issue":"8","key":"15_CR17","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., et al.: Language models are unsupervised multitask learners. OpenAI Blog 1(8), 9 (2019)","journal-title":"OpenAI Blog"},{"key":"15_CR18","first-page":"1877","volume":"33","author":"T Brown","year":"2020","unstructured":"Brown, T., Mann, B., Ryder, N., et al.: Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877\u20131901 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"15_CR19","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.jneumeth.2014.03.012","volume":"244","author":"Y Zhang","year":"2015","unstructured":"Zhang, Y., Zhou, G., Jin, J., et al.: SSVEP recognition using common feature analysis in brain\u2013computer interface. J. Neurosci. Methods 244, 8\u201315 (2015)","journal-title":"J. Neurosci. Methods"},{"issue":"6","key":"15_CR20","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1162\/NECO_a_00838","volume":"28","author":"M Hamedi","year":"2016","unstructured":"Hamedi, M., Salleh, S.H., Noor, A.M.: Electroencephalographic motor imagery brain connectivity analysis for BCI: a review. Neural Comput. 28(6), 999\u20131041 (2016)","journal-title":"Neural Comput."},{"issue":"1","key":"15_CR21","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1038\/s41597-024-03398-7","volume":"11","author":"X Mou","year":"2024","unstructured":"Mou, X., He, C., Tan, L., et al.: ChineseEEG: a Chinese linguistic corpora EEG dataset for semantic alignment and neural decoding. Sci. Data 11(1), 550 (2024)","journal-title":"Sci. Data"},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"659410","DOI":"10.3389\/fnhum.2021.659410","volume":"15","author":"N Hollenstein","year":"2021","unstructured":"Hollenstein, N., Renggli, C., Glaus, B., et al.: Decoding EEG brain activity for multi-modal natural language processing. Front. Hum. Neurosci. 15, 659410 (2021)","journal-title":"Front. Hum. Neurosci."},{"issue":"10","key":"15_CR23","doi-asserted-by":"publisher","first-page":"15439","DOI":"10.1007\/s11042-022-14011-7","volume":"82","author":"R Du","year":"2023","unstructured":"Du, R., Zhu, S., Ni, H., et al.: Valence-arousal classification of emotion evoked by Chinese ancient-style music using 1D-CNN-BiLSTM model on EEG signals for college students. Multimedia Tools Appl. 82(10), 15439\u201315456 (2023)","journal-title":"Multimedia Tools Appl."},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Hashim, N., Ali, A., Mohd-Isa, W.N.: Word-based classification of imagined speech using EEG. In: International Conference on Computational Science and Technology, pp. 195\u2013204. Springer, Singapore (2017)","DOI":"10.1007\/978-981-10-8276-4_19"},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Abhang, P.A., Gawali, B.W., Mehrotra, S.C.: Introduction to EEG-and Speech-Based Emotion Recognition. Academic Press (2016)","DOI":"10.1016\/B978-0-12-804490-2.00007-5"},{"issue":"22","key":"15_CR26","first-page":"2","volume":"21","author":"L Chun-Lin","year":"2010","unstructured":"Chun-Lin, L.: A tutorial of the wavelet transform. NTUEE Taiwan 21(22), 2 (2010)","journal-title":"NTUEE Taiwan"},{"key":"15_CR27","unstructured":"Van Den Oord, A., Vinyals, O.: Neural discrete representation learning. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"15_CR28","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1109\/TNSRE.2023.3268751","volume":"31","author":"J Zhou","year":"2023","unstructured":"Zhou, J., Duan, Y., Zou, Y., et al.: Speech2EEG: Leveraging pretrained speech model for EEG signal recognition. IEEE Trans. Neural Syst. Rehabil. Eng. 31, 2140\u20132153 (2023)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"15_CR29","unstructured":"Baevski, A., Zhou, Y., Mohamed, A., et al.: wav2vec 2.0: a framework for self-supervised learning of speech representations. In: Advances in Neural Information Processing Systems, vol. 33, pp. 12449\u201312460 (2020)"},{"key":"15_CR30","doi-asserted-by":"crossref","unstructured":"Lewis, M., et al.: BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp.7871\u20137880 (2020)","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"15_CR31","doi-asserted-by":"crossref","unstructured":"Drexler, J., Glass, J.: Subword regularization and beam search decoding for end-to-end automatic speech recognition. In: ICASSP 2019\u20132019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6266\u20136270 (2019)","DOI":"10.1109\/ICASSP.2019.8683531"},{"key":"15_CR32","doi-asserted-by":"crossref","unstructured":"Huang, X., Xu, T., Jiao, L., et al.: Adaptive beam search decoding for discrete keyphrase generation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 14, pp. 13082\u201313089 (2021)","DOI":"10.1609\/aaai.v35i14.17546"},{"key":"15_CR33","first-page":"41618","volume":"36","author":"Y Xie","year":"2023","unstructured":"Xie, Y., Kawaguchi, K., Zhao, Y., et al.: Self-evaluation guided beam search for reasoning. Adv. Neural. Inf. Process. Syst. 36, 41618\u201341650 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0006-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T02:58:46Z","timestamp":1771901926000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0006-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819500055","9789819500062"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0006-2_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}