{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T18:17:27Z","timestamp":1759342647710,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030665265"},{"type":"electronic","value":"9783030665272"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-66527-2_15","type":"book-chapter","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T18:04:51Z","timestamp":1609351491000},"page":"199-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["RNN Language Model Estimation for Out-of-Vocabulary Words"],"prefix":"10.1007","author":[{"given":"Irina","family":"Illina","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominique","family":"Fohr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,31]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Bisani, M., Ney, H.: Open vocabulary speech recognition with flat hybrid models. In: Proceedings of Interspeech (2005)","DOI":"10.21437\/Interspeech.2005-11"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Chen, X., et al.: Recurrent neural network language model adaptation for multi-genre broadcast speech recognition. In: Proceedings of Interspeech (2015)","DOI":"10.21437\/Interspeech.2015-696"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Currey, A., Illina, I., Fohr, D.: Dynamic adjustment of language models for automatic speech recognition using word similarity. In: Proceedings of IEEE Workshop on Spoken Language Technology (SLT) (2016)","DOI":"10.1109\/SLT.2016.7846299"},{"key":"15_CR4","unstructured":"Mikolov, T.: Statistical language models based on neural networks. Ph. D. thesis, Brno University of Technology (2013)"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Karafi\u00e1t, M., Burget, L., Cernock\u00fd, J., Khudanpur, S.: Recurrent neural network based language lodel. In: Proceedings of Interspeech (2010)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"15_CR6","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Burget, L., Cernocky, J., Khudanpur, S.: Extensions of recurrent neural network language model. In: Proceedings of IEEE ICASSP, pp. 5528\u20135531 (2011)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Deoras, A., Burget, L., Cernocky, J.: RNNLM - recurrent neural network language modeling toolkit. In: Proceedings of IEEE ASRU (2011)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"15_CR8","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"issue":"9","key":"15_CR9","doi-asserted-by":"publisher","first-page":"2308","DOI":"10.1587\/transinf.E95.D.2308","volume":"E95-D","author":"W Naptali","year":"2012","unstructured":"Naptali, W., Tsuchiya, M., Nakagawa, S.: Class-based N-gram language model for new words using out-of-vocabulary to in-vocabulary similarity. IEICE Trans. Inf. Syst. E95-D(9), 2308\u20132317 (2012)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"15_CR10","unstructured":"Parada, C., Dredze, M., Sethy, A., Rastrow, A.: Learning sub-word units for open vocabulary speech recognition. In: Proceedings of ACL (2011)"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Qin, L.: Learning Out-of-Vocabulary Words in Automatic Speech Recognition. Ph. D. thesis, CMU University (2013)","DOI":"10.21437\/Interspeech.2013-527"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Shaik, A., Mousa, E.-D., Schl\u00fcter, R, Ney, H.: Hybrid language models using mixed types of sub-lexical units for open vocabulary German LVCSR. In: Proceedings of Interspeech, pp. 1441\u20131444 (2011)","DOI":"10.21437\/Interspeech.2011-252"},{"issue":"3","key":"15_CR13","first-page":"598","volume":"25","author":"I Sheikh","year":"2017","unstructured":"Sheikh, I., Fohr, D., Illina, I., Linares, G.: Modelling semantic context of OOV words in large vocabulary continuous speech recognition. IEEE\/ACM Trans. Audio Speech Lang. Process. Inst. Electr. Electron. Eng. N 25(3), 598\u2013610 (2017)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process. Inst. Electr. Electron. Eng. N"},{"key":"15_CR14","unstructured":"Sheikh, I., Illina, I., Fohr, D.: How diachronic text corpora affect context based retrieval of OOV proper names for audio news. In: Proceedings of LREC (2016)"},{"key":"15_CR15","unstructured":"Stolcke, A., Zheng, J., Wang, W., Abrash V.: SRILM at sixteen: update and outlook. In: Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (2011)"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"Sundermeyer, M., Oparin, I., Gauvain, J.-L., Freiberg, B., Schl\u00fcter, R., Ney, H. Comparison of Feedforward and recurrent neural network language models. In Proceedings of IEEE ICASSP (2013)","DOI":"10.1109\/ICASSP.2013.6639310"},{"key":"15_CR17","doi-asserted-by":"crossref","unstructured":"Wen, T.-H., Heidel, A., Lee, H.-Y., Tsao, Y., Lee, L.-S.: Recurrent neural network based personalized language modeling by social network crowdsourcing. In: Proceedings of Interspeech (2013)","DOI":"10.21437\/Interspeech.2013-621"}],"container-title":["Lecture Notes in Computer Science","Human Language Technology. Challenges for Computer Science and Linguistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66527-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T14:52:57Z","timestamp":1697467977000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-66527-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030665265","9783030665272"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66527-2_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"31 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LTC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Language and Technology Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pozna\u0144","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ltconf2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ltc.amu.edu.pl\/a2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"97","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}