{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:06:14Z","timestamp":1725987974694},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319975702"},{"type":"electronic","value":"9783319975719"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-97571-9_24","type":"book-chapter","created":{"date-parts":[[2018,8,14]],"date-time":"2018-08-14T12:55:24Z","timestamp":1534251324000},"page":"302-313","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Effective Online Learning Implementation for Statistical Machine Translation"],"prefix":"10.1007","author":[{"given":"Toms","family":"Miks","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M\u0101rcis","family":"Pinnis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mat\u012bss","family":"Rikters","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rihards","family":"Kri\u0161lauks","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,15]]},"reference":[{"key":"24_CR1","unstructured":"Aziz, W., De Sousa, S.C., Specia, L.: Pet: a tool for post-editing and assessing machine translation. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012), pp. 3982\u20133987 (2012)"},{"issue":"2","key":"24_CR2","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1109\/TASLP.2015.2509241","volume":"24","author":"L Bentivogli","year":"2016","unstructured":"Bentivogli, L., Bertoldi, N., Cettolo, M., Federico, M., Negri, M., Turchi, M.: On the evaluation of adaptive machine translation for human post-editing. IEEE\/ACM Trans. Audio Speech Lang. Process. (TASLP) 24(2), 388\u2013399 (2016)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process. (TASLP)"},{"key":"24_CR3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.2478\/pralin-2014-0001.Brought","volume":"101","author":"N Bertoldi","year":"2014","unstructured":"Bertoldi, N.: Dynamic models in Moses for online adaptation. Prague Bull. Math. Linguist. 101, 7\u201328 (2014). https:\/\/doi.org\/10.2478\/pralin-2014-0001.Brought","journal-title":"Prague Bull. Math. Linguist."},{"key":"24_CR4","unstructured":"Bertoldi, N., Cettolo, M., Federico, M.: Cache-based online adaptation for machine translation enhanced computer assisted translation. In: Proceedings of the XIV Machine Translation Summit, pp. 35\u201342 (2013)"},{"issue":"1","key":"24_CR5","doi-asserted-by":"publisher","first-page":"7","DOI":"10.2478\/v10108-009-0011-9","volume":"91","author":"N Bertoldi","year":"2009","unstructured":"Bertoldi, N., Haddow, B., Fouet, J.B.: Improved minimum error rate training in Moses. Prague Bull. Math. Linguist. 91(1), 7\u201316 (2009)","journal-title":"Prague Bull. Math. Linguist."},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huang, S., Huck, M., Koehn, P., Liu, Q., Logacheva, V., et al.: Findings of the 2017 conference on machine translation (wmt17). In: Proceedings of the Second Conference on Machine Translation, pp. 169\u2013214 (2017)","DOI":"10.18653\/v1\/W17-4717"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M., Yepes, A.J., Koehn, P., Logacheva, V., Monz, C., et al.: Findings of the 2016 conference on machine translation. In: ACL 2016 First Conference on Machine Translation (WMT 2016), pp. 131\u2013198. The Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/W16-2301"},{"key":"24_CR8","unstructured":"Cettolo, M., Bertoldi, N., Federico, M.: The repetition rate of text as a predictor of the effectiveness of machine translation adaptation. In: Proceedings of the 11th Biennial Conference of the Association for Machine Translation in the Americas (AMTA 2014), pp. 166\u2013179 (2014)"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Denkowski, M., Lavie, A., Lacruz, I., Dyer, C.: Real time adaptive machine translation for post-editing with cdec and transcenter. In: Proceedings of the EACL 2014 Workshop on Humans and Computer-Assisted Translation, pp. 72\u201377 (2014)","DOI":"10.3115\/v1\/W14-0311"},{"key":"24_CR10","unstructured":"Dyer, C., Chahuneau, V., Smith, N.A.: A simple, fast, and effective reparameterization of IBM model 2. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2013), Atlanta, USA, pp. 644\u2013648, June 2013"},{"key":"24_CR11","unstructured":"Dyer, C., Weese, J., Setiawan, H., Lopez, A., Ture, F., Eidelman, V., Ganitkevitch, J., Blunsom, P., Resnik, P.: cdec: a decoder, alignment, and learning framework for finite-state and context-free translation models. In: Proceedings of the ACL 2010 System Demonstrations, pp. 7\u201312. Association for Computational Linguistics (2010)"},{"key":"24_CR12","unstructured":"Germann, U.: Dynamic phrase tables for machine translation in an interactive post-editing scenario. In: Proceedings of AMTA 2014 Workshop on Interactive and Adaptive Machine Translation, pp. 20\u201331 (2014)"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"69","DOI":"10.2478\/v10108-011-0012-3","volume":"96","author":"E Hasler","year":"2011","unstructured":"Hasler, E., Haddow, B., Koehn, P.: Margin infused relaxed algorithm for moses. Prague Bull. Math. Linguist. 96, 69\u201378 (2011)","journal-title":"Prague Bull. Math. Linguist."},{"key":"24_CR14","unstructured":"Heafield, K.: KenLM: faster and smaller language model queries. In: Proceedings of the Sixth Workshop on Statistical Machine Translation, No. 2009, pp. 187\u2013197. Association for Computational Linguistics (2011)"},{"key":"24_CR15","unstructured":"Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., Herbst, E.: Moses: open source toolkit for statistical machine translation. In: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL 2007, Stroudsburg, PA, USA, pp. 177\u2013180. Association for Computational Linguistics (2007). http:\/\/dl.acm.org\/citation.cfm?id=1557769.1557821"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Koehn, P., Och, F.J., Marcu, D.: Statistical phrase-based translation. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, vol. 1, pp. 48\u201354. Association for Computational Linguistics (2003)","DOI":"10.21236\/ADA461156"},{"key":"24_CR17","unstructured":"Mathur, P., Cettolo, M.: Optimized MT online learning in computer assisted translation. In: IAMT 2014-AMTA 2014 Workshop on Interactive and Adaptive Machine Translation, pp. 32\u201341 (2014)"},{"key":"24_CR18","unstructured":"Mathur, P., Cettolo, M., Federico, M., Kessler, F.F.B.: Online learning approaches in computer assisted translation. In: WMT@ACL, pp. 301\u2013308 (2013)"},{"key":"24_CR19","unstructured":"Microsoft: Translation and UI strings glossaries (2015)"},{"key":"24_CR20","unstructured":"Peris, \u00c1., Casacuberta, F.: Online learning for effort reduction in interactive neural machine translation (2018). arXiv preprint: arXiv:1802.03594"},{"key":"24_CR21","unstructured":"Peris, A., Cebri\u00e1n, L., Casacuberta, F.: Online learning for neural machine translation post-editing (2017). arXiv preprint: arXiv:1706.03196"},{"key":"24_CR22","unstructured":"Pinnis, M., Kalnin\u0327\u0161, R., Skadin\u0327\u0161, R., Skadin\u0327a, I.: What can we really learn from post-editing? In: Proceedings of the 12th Conference of the Association for Machine Translation in the Americas (AMTA 2016). MT Users, vol. 2, Austin, USA, pp. 86\u201391. Association for Machine Translation in the Americas (2016)"},{"key":"24_CR23","unstructured":"Skadin\u0327a, I., Pinnis, M.: NMT or SMT: case study of a narrow-domain English-Latvian post-editing project. In: Proceedings of the Eighth International Joint Conference on Natural Language Processing. Long Papers, vol. 1, pp. 373\u2013383 (2017)"},{"key":"24_CR24","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1075\/cilt.309.19tie","volume":"5","author":"J Tiedemann","year":"2009","unstructured":"Tiedemann, J.: News from OPUS - a collection of multilingual parallel corpora with tools and interfaces. Recent Adv. Nat. Lang. Process. 5, 237\u2013248 (2009)","journal-title":"Recent Adv. Nat. Lang. Process."},{"issue":"1","key":"24_CR25","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1515\/pralin-2017-0023","volume":"108","author":"M Turchi","year":"2017","unstructured":"Turchi, M., Negri, M., Farajian, M.A., Federico, M.: Continuous learning from human post-edits for neural machine translation. Prague Bull. Math. Linguist. 108(1), 233\u2013244 (2017)","journal-title":"Prague Bull. Math. Linguist."},{"key":"24_CR26","unstructured":"Vasil\u0327jevs, A., Skadin\u0327\u0161, R., Tiedemann, J.: LetsMT!: a cloud-based platform for do-it-yourself machine translation. In: Proceedings of the ACL 2012 System Demonstrations, Jeju Island, Korea, pp. 43\u201348. Association for Computational Linguistics, July 2012"}],"container-title":["Communications in Computer and Information Science","Databases and Information Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97571-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T08:42:16Z","timestamp":1571733736000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97571-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319975702","9783319975719"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97571-9_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}