{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:52:31Z","timestamp":1757620351431,"version":"3.44.0"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031995644"},{"type":"electronic","value":"9783031995651"}],"license":[{"start":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T00:00:00Z","timestamp":1753833600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T00:00:00Z","timestamp":1753833600000},"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":[[2026]]},"DOI":"10.1007\/978-3-031-99565-1_32","type":"book-chapter","created":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T06:42:12Z","timestamp":1753771332000},"page":"415-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using LoRA and\u00a0Reinforcement Learning in Interactive Machine Translation"],"prefix":"10.1007","author":[{"given":"\u00c1ngel","family":"Navarro","sequence":"first","affiliation":[]},{"given":"Francisco","family":"Casacuberta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,30]]},"reference":[{"key":"32_CR1","unstructured":"Achiam, J., et al.: GPT-4 Technical Report. arXiv preprint arXiv:2303.08774 (2023)"},{"issue":"1","key":"32_CR2","doi-asserted-by":"publisher","first-page":"101","DOI":"10.2478\/pralin-2013-0016","volume":"100","author":"V Alabau","year":"2013","unstructured":"Alabau, V., et al.: Casmacat: An open source workbench for advanced computer aided translation. The Prague Bulletin of Mathematical Linguistics 100(1), 101\u2013112 (2013)","journal-title":"The Prague Bulletin of Mathematical Linguistics"},{"key":"32_CR3","unstructured":"Bahdanau, D., et al.: An actor-critic algorithm for sequence prediction. arXiv preprint arXiv:1607.07086 (2016)"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Barrachina, S., et al.: Statistical approaches to computer-assisted translation. Comput. Linguist. 35(1), 3\u201328 (2009)","DOI":"10.1162\/coli.2008.07-055-R2-06-29"},{"key":"32_CR5","unstructured":"De\u00a0Gibert, O., et al.: A new massive multilingual dataset for high-performance language technologies. arXiv preprint arXiv:2403.14009 (2024)"},{"issue":"4","key":"32_CR6","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s10590-017-9213-3","volume":"31","author":"M Domingo","year":"2017","unstructured":"Domingo, M., Peris, \u00c1., Casacuberta, F.: Segment-based interactive-predictive machine translation. Mach. Transl. 31(4), 163\u2013185 (2017)","journal-title":"Mach. Transl."},{"issue":"1","key":"32_CR7","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1023\/A:1007999327580","volume":"12","author":"G Foster","year":"1997","unstructured":"Foster, G., Isabelle, P., Plamondon, P.: Target-text mediated interactive machine translation. Mach. Transl. 12(1), 175\u2013194 (1997)","journal-title":"Mach. Transl."},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Herbig, N., et al.: MMPE: a multi-modal interface for post-editing machine translation. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 1691\u20131702 (2020)","DOI":"10.18653\/v1\/2020.acl-main.155"},{"key":"32_CR9","unstructured":"Hu, E.J., et al.: Lora: low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685 (2021)"},{"key":"32_CR10","unstructured":"Huang, G., et al.: Transmart: a practical interactive machine translation system. arXiv preprint arXiv:2105.13072 (2021)"},{"key":"32_CR11","unstructured":"Hyeon-Woo, N., Ye-Bin, M., Oh, T.H.: Fedpara: low-rank hadamard product for communication-efficient federated learning. arXiv preprint arXiv:2108.06098 (2021)"},{"key":"32_CR12","unstructured":"Koehn, P.: Europarl: a parallel corpus for statistical machine translation. In: Machine Translation summit. vol.\u00a05, pp. 79\u201386. Citeseer (2005)"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Kreutzer, J., Khadivi, S., Matusov, E., Riezler, S.: can neural machine translation be improved with user feedback? arXiv preprint arXiv:1804.05958 (2018)","DOI":"10.18653\/v1\/N18-3012"},{"key":"32_CR14","unstructured":"Lam, T.K., Schamoni, S., Riezler, S.: Interactive-predictive neural machine translation through reinforcement and imitation. arXiv preprint arXiv:1907.02326 (2019)"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Lester, B., Al-Rfou, R., Constant, N.: The power of scale for parameter-efficient prompt tuning. arXiv preprint arXiv:2104.08691 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Li, X.L., Liang, P.: Prefix-tuning: optimizing continuous prompts for generation. arXiv preprint arXiv:2101.00190 (2021)","DOI":"10.18653\/v1\/2021.acl-long.353"},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Liu, X., et al.: GPT understands, too. AI Open (2023)","DOI":"10.1016\/j.aiopen.2023.08.012"},{"key":"32_CR18","doi-asserted-by":"crossref","unstructured":"Nielsen, J.: Usability engineering. Morgan Kaufmann (1994)","DOI":"10.1016\/B978-0-08-052029-2.50009-7"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 311\u2013318 (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"32_CR20","doi-asserted-by":"crossref","unstructured":"Peris, \u00c1., Casacuberta, F.: Active learning for interactive neural machine translation of data streams. In: Proceedings of the 22nd Conference on Computational Natural Language Learning, pp. 151\u2013160 (2018)","DOI":"10.18653\/v1\/K18-1015"},{"key":"32_CR21","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.csl.2019.04.001","volume":"58","author":"\u00c1 Peris","year":"2019","unstructured":"Peris, \u00c1., Casacuberta, F.: Online learning for effort reduction in interactive neural machine translation. Comput. Speech Lang. 58, 98\u2013126 (2019)","journal-title":"Comput. Speech Lang."},{"key":"32_CR22","doi-asserted-by":"crossref","unstructured":"Post, M.: A call for clarity in reporting bleu scores. In: Proceedings of the Third Conference on Machine Translation, pp. 186\u2013191 (2018)","DOI":"10.18653\/v1\/W18-6319"},{"key":"32_CR23","first-page":"79320","volume":"36","author":"Z Qiu","year":"2023","unstructured":"Qiu, Z., et al.: Controlling text-to-image diffusion by orthogonal finetuning. Adv. Neural. Inf. Process. Syst. 36, 79320\u201379362 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"3\u20134","key":"32_CR24","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s10590-014-9157-9","volume":"28","author":"G Sanchis-Trilles","year":"2014","unstructured":"Sanchis-Trilles, G., et al.: Interactive translation prediction versus conventional post-editing in practice: a study with the casmacat workbench. Mach. Transl. 28(3\u20134), 217\u2013235 (2014)","journal-title":"Mach. Transl."},{"key":"32_CR25","unstructured":"Scao, T.L., et al.: Bloom: a 176b-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100 (2022)"},{"key":"32_CR26","unstructured":"Snover, M., Dorr, B., Schwartz, R., Micciulla, L., Makhoul, J.: A study of translation edit rate with targeted human annotation. In: Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers. pp. 223\u2013231 (2006)"},{"key":"32_CR27","unstructured":"Specia, L., Shah, K., De\u00a0Souza, J.G., Cohn, T.: Quest-a translation quality estimation framework. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 79\u201384 (2013)"},{"key":"32_CR28","unstructured":"Sutton, R.S., McAllester, D.A., Singh, S.P., Mansour, Y.: Policy gradient methods for reinforcement learning with function approximation. In: Advances in Neural Information Processing Systems, pp. 1057\u20131063 (2000)"},{"key":"32_CR29","unstructured":"Team, G., et al.: Gemini: a family of highly capable multimodal models. arXiv preprint arXiv:2312.11805 (2023)"},{"key":"32_CR30","doi-asserted-by":"crossref","unstructured":"Tom\u00e1s, J., Casacuberta, F.: Statistical phrase-based models for interactive computer-assisted translation. In: Proceedings of the COLING\/ACL 2006 Main Conference Poster Sessions, pp. 835\u2013841 (2006)","DOI":"10.3115\/1273073.1273180"},{"key":"32_CR31","unstructured":"Toral, A.: Reassessing claims of human parity and super-human performance in machine translation at WMT 2019. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pp. 185\u2013194 (2020)"},{"key":"32_CR32","unstructured":"Touvron, H., et al.: Llama 2: open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)"},{"key":"32_CR33","doi-asserted-by":"crossref","unstructured":"Wang, Q., Zhang, J., Liu, L., Huang, G., Zong, C.: Touch editing: a flexible one-time interaction approach for translation. In: Proceedings of the 1st Conference of the AACL and the 10th IJCNLP, pp. 1\u201311 (2020)","DOI":"10.18653\/v1\/2020.aacl-main.1"},{"key":"32_CR34","unstructured":"Weaver, L., Tao, N.: The optimal reward baseline for gradient-based reinforcement learning. arXiv preprint arXiv:1301.2315 (2013)"},{"key":"32_CR35","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1023\/A:1022672621406","volume":"8","author":"RJ Williams","year":"1992","unstructured":"Williams, R.J.: Simple statistical gradient-following algorithms for connectionist reinforcement learning. Mach. Learn. 8, 229\u2013256 (1992)","journal-title":"Mach. Learn."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-99565-1_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T05:58:13Z","timestamp":1757311093000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-99565-1_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,30]]},"ISBN":["9783031995644","9783031995651"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-99565-1_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,7,30]]},"assertion":[{"value":"30 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IbPRIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberian Conference on Pattern Recognition and Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Coimbra","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"1 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibpria2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ibpria.org\/2025\/?page=home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}