{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:54:19Z","timestamp":1743062059344,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319476735"},{"type":"electronic","value":"9783319476742"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-47674-2_9","type":"book-chapter","created":{"date-parts":[[2016,10,9]],"date-time":"2016-10-09T06:00:44Z","timestamp":1475992844000},"page":"103-113","source":"Crossref","is-referenced-by-count":4,"title":["A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters"],"prefix":"10.1007","author":[{"given":"Xiaofei","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feilong","family":"Bao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongxi","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangdong","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,10]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Bao, F., Gao, G., Yan, X., Wang, W.: Segmentation-based Mongolian LVCSR approach. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8136\u20138139 (2013)","DOI":"10.1109\/ICASSP.2013.6639250"},{"key":"9_CR2","unstructured":"Gao, G., Jin, W., Long, F.: Mongolian text retrieval: language specialities and IR model. J. Comput. Inf. Syst. 1561\u20131568 (2009)"},{"key":"9_CR3","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-642-41644-6_2","volume-title":"Natural Language Processing and Chinese Computing","author":"F Bao","year":"2013","unstructured":"Bao, F., Gao, G., Yan, X., Wang, H.: Language model for cyrillic mongolian to traditional Mongolian conversion. In: Li, J., Ji, H., Zhao, D., Feng, Y. (eds.) NLPCC 2015. CCIS, vol. 9362, pp. 13\u201318. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-41644-6_2"},{"key":"9_CR4","volume-title":"Design and Implementation of Mongolian Word Analyzing and Correcting Based on Statistical Language Method","author":"Z Jun","year":"2007","unstructured":"Jun, Z.: Design and Implementation of Mongolian Word Analyzing and Correcting Based on Statistical Language Method. Inner Mongolia University, Hohhot (2007)"},{"key":"9_CR5","unstructured":"Su, C., Hou, H., Yang, P., Yuan, H.: Based on the statistical translation framework of the Monglian automatic spelling correction method. J. Chin. Inf. Proces. 175\u2013179 (2013)"},{"key":"9_CR6","unstructured":"Sloglo: A proofreading algorithm of Mongolian text based on nondeterministic finite automata. J. Chin. Inf. Proces. 110\u2013115 (2009)"},{"key":"9_CR7","volume-title":"Research on Rule-Based the Method of Mongolian Automatic Correction","author":"B Jiang","year":"2014","unstructured":"Jiang, B.: Research on Rule-Based the Method of Mongolian Automatic Correction. Inner Mongolia University, Hohhot (2014)"},{"key":"9_CR8","unstructured":"GB 25914-2010: Information technology of traditional Mongolian nominal characters, presentation characters and control characters using the rules, 10 January 2011"},{"key":"9_CR9","first-page":"83","volume-title":"Natural Language Processing","author":"C Zong","year":"2013","unstructured":"Zong, C.: Natural Language Processing, 2nd edn., pp. 83\u2013104. Tsinghua University Press, Beijing (2013)","edition":"2"},{"key":"9_CR10","volume-title":"Speech and Language Processing","author":"D Jurafsky","year":"2009","unstructured":"Jurafsky, D., Martin, J.: Speech and Language Processing, 2nd edn. Prentice Hall, Upper Saddle River (2009)","edition":"2"},{"key":"9_CR11","unstructured":"Frankie, J.: Modified Kneser-Ney smoothing of n-gram models. RIACS Technical report (2000)"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Meng, J., Zhang, J., Zhao, H.: Overview of the speech recognition technology. In: International Conference on Computational and Information Sciences (2012)","DOI":"10.1109\/ICCIS.2012.202"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Karafiat, M., Burget, L., et al.: Recurrent neural network based language model. In: Proceedings of 11th Annual Conference of the International Speech Communication Association, Makuhari, Japan, pp. 1045\u20131048 (2010)","DOI":"10.21437\/Interspeech.2010-343"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Burget, L., et al.: Extensions of recurrent neural network language model. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, pp. 5528\u20135531 (2011)","DOI":"10.1109\/ICASSP.2011.5947611"},{"issue":"3","key":"9_CR15","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1109\/PROC.1973.9030","volume":"61","author":"GD Forney Jr","year":"1973","unstructured":"Forney Jr., G.D.: The Viterbi algorithm. Proc. IEEE 61(3), 268\u2013278 (1973)","journal-title":"Proc. IEEE"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Stolcke, A., et al.: SRILM \u2013an extensible language modeling toolkit. In: Proceedings of the International Conference on Spoken Language Processing, vol. 2, Denver, pp. 901\u2013904 (2002)","DOI":"10.21437\/ICSLP.2002-303"},{"key":"9_CR17","unstructured":"Povey, D., Ghoshal, A., Boulianne, G., Burget, L., Glembek, O., Goel, N., Hannemann, M., Motlicek, P., Qian, Y., Schwarz, P., Silovsky, J., Stemmer, G., Vesely, K.: The Kaldi speech recognition toolkit. In: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding. IEEE Signal Processing Society (2011)"},{"key":"9_CR18","series-title":"Lecture Notes in Computer Science (LNCS)","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/978-3-319-25816-4_15","volume-title":"Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data","author":"H Zhang","year":"2015","unstructured":"Zhang, H., Bao, F., Gao, G.: Mongolian speech recognition based on deep neural networks. In: Sun, M., Liu, Z., Zhang, M., Liu, Y. (eds.) CCL 2015. Lecture Notes in Artificial Intelligence (LNAI), vol. 9427, pp. 180\u2013188. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-25816-4_15"}],"container-title":["Lecture Notes in Computer Science","Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-47674-2_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T11:17:01Z","timestamp":1692530221000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-47674-2_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319476735","9783319476742"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-47674-2_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}