{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T15:47:03Z","timestamp":1763308023838},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319973036"},{"type":"electronic","value":"9783319973043"}],"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\/978-3-319-97304-3_17","type":"book-chapter","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T18:34:06Z","timestamp":1532630046000},"page":"217-231","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism"],"prefix":"10.1007","author":[{"given":"Rui","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"FeiLong","family":"Bao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanglai","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,27]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Chen, Z., Hu, G., Jiang, W.: Improving prosodic phrase prediction by unsupervised adaptation and syntactic features extraction. In: 11th Annual Conference of the International Speech Communication Association, Makuhari, Chiba, Japan, pp. 1421\u20131424 (2010)","DOI":"10.21437\/Interspeech.2010-431"},{"key":"17_CR2","first-page":"61","volume":"6","author":"M Chu","year":"2001","unstructured":"Chu, M., Qian, Y.: Locating boundaries for prosodic constituents in unrestricted mandarin texts. Comput. Linguist. Chin. Lang. Process. 6, 61\u201382 (2001)","journal-title":"Comput. Linguist. Chin. Lang. Process."},{"issue":"4","key":"17_CR3","first-page":"39","volume":"17","author":"X Nie","year":"2003","unstructured":"Nie, X., Wang, Z.: Automatic phrase break prediction in Chinese sentences. J. Chin. Inf. Process. 17(4), 39\u201344 (2003)","journal-title":"J. Chin. Inf. Process."},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Li, J.F., Hu, G.P., Wang, R.: Chinese prosody phrase break prediction based on maximum entropy model. In: 8th Proceedings of INTERSPEECH, Jeju Island, Korea, pp. 729\u2013732 (2004)","DOI":"10.21437\/Interspeech.2004-282"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Qian, Y., Wu, Z., Ma, X., Soong, F.: Automatic prosody prediction and detection with conditional random field (CRF) models. In: 7th Proceedings of ISCSLP, Tainan, Taiwan, pp. 135\u2013138 (2010)","DOI":"10.1109\/ISCSLP.2010.5684835"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Rosenberg, A., Fernandez, R., Ramabhadran, B.: Phrase boundary assignment from text in multiple domains. In: 13th Annual Conference of the International Speech Communication Association, Portland, Oregon, USA, pp. 2558\u20132561 (2012)","DOI":"10.21437\/Interspeech.2012-662"},{"key":"17_CR7","unstructured":"Vadapalli, A., Bhaskararao, P., Prahallad, K.: Significance of word-terminal syllables for prediction of phrase breaks in text-to-speech systems for Indian languages. In: 8th ISCA Tutorial and Research Workshop on Speech Synthesis (2013)"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Ananthakrishnan, S., Narayanan, S.: An automatic prosody recognizer using a coupled multi-stream acoustic model and a syntactic-prosodic language model. In: 30th International Conference on Acoustics. Speech, and Signal Processing, pp. 269\u2013272. IEEE Press, Philadelphia (2005)","DOI":"10.1109\/ICASSP.2005.1415102"},{"key":"17_CR9","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.specom.2005.01.009","volume":"46","author":"M Hasegawa-Johnson","year":"2005","unstructured":"Hasegawa-Johnson, M., et al.: Simultaneous recognition of words and prosody in the Boston University radio speech corpus. Speech Commun. 46, 418\u2013439 (2005)","journal-title":"Speech Commun."},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1109\/TASL.2008.917071","volume":"16","author":"VKR Sridhar","year":"2008","unstructured":"Sridhar, V.K.R., Bangalore, S., Narayanan, S.S.: Exploiting acoustic and syntactic features for automatic prosody labeling in a maximum entropy framework. IEEE Trans. Audio Speech Lang. Process. 16, 797\u2013811 (2008)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"17_CR11","unstructured":"Busser, B., Daelemans, W., van den Bosch, A.: Predicting phrase breaks with memory-based learning. In: 4th ISCA Tutorial and Research Workshop on Speech Synthesis, Perthshire Scotland (2001)"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Fernandez, R., Ramabhadran, B.: Driscriminative training and unsupervised adaptation for labeling prosodic events with limited training data. In: 11th Conference of the International Speech Communication Association, Makuhari, Chiba, Japan, pp. 1429\u20131432 (2010)","DOI":"10.21437\/Interspeech.2010-433"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Rosenberg, A., Fernandez, R., Ramabhadran, B.: Modeling phrasing and prominence using deep recurrent learning. In: 16th Conference of the International Speech Communication Association, Dresden, Germany, pp. 3066\u20133070 (2015)","DOI":"10.21437\/Interspeech.2015-623"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Vadapalli, A., Prahallad, K.: Learning continuous-valued word representations for phrase break prediction. In: 15th Conference of the International Speech Communication Association, Singapore, pp. 41\u201345 (2014)","DOI":"10.21437\/Interspeech.2014-9"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Watts, O., et al.: Neural net word representations for phrase-break prediction without a part of speech tagger. In: 34th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, pp. 2599\u20132603 (2014)","DOI":"10.1109\/ICASSP.2014.6854070"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Watts, O., Yamagishi, J., King, S.: Unsupervised continuous-valued word features for Phrase-break prediction without a part-of-speech tagger. In: 12th Conference of the International Speech Communication Association, Florence, Italy (2011)","DOI":"10.21437\/Interspeech.2011-565"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Vadapalli, A., Gangashetty, S.V.: An investigation of recurrent neural network architectures using word embeddings for phrase break prediction. In: 17th Conference of the International Speech Communication Association, San Francisco, CA, USA, pp. 2308\u20132312 (2016)","DOI":"10.21437\/Interspeech.2016-885"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Rendel, A., Fernandez, R., Hoory, R., Ramabhadran, B.: Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end. In: 36th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, pp. 5655\u20135659 (2016)","DOI":"10.1109\/ICASSP.2016.7472760"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Ding, C., Xie, L., Yan, J., Zhang, W., Liu, Y.: Automatic prosody prediction for Chinese speech synthesis using BLSTM-RNN and embedding features. In: IEEE Automatic Speech Recognition and Understanding Workshop, Scottsdale, Arizona, USA, pp. 98\u2013102 (2015)","DOI":"10.1109\/ASRU.2015.7404780"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Li, Y., Wen, Z., Ding, X., Tao, J.: Improving prosodic boundaries prediction for mandarin speech synthesis by using enhanced embedding feature and model fusion approach. In: 17th Conference of the International Speech Communication Association, San Francisco, CA, USA, pp. 3201\u20133205 (2016)","DOI":"10.21437\/Interspeech.2016-1060"},{"key":"17_CR21","doi-asserted-by":"crossref","unstructured":"Klimkov, V., et al.: Phrase break prediction for long-form reading TTS: exploiting text structure information. In: 18th Conference of the International Speech Communication Association, Stockholm, Sweden, pp. 1064\u20131068 (2017)","DOI":"10.21437\/Interspeech.2017-419"},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"Liu, R., Bao, F., Gao, G., Wang, W.: Mongolian prosodic phrase prediction using suffix segmentation. In: International Conference on Asian Language Processing, pp. 250\u2013253. IEEE (2017)","DOI":"10.1109\/IALP.2016.7875979"},{"key":"17_CR23","first-page":"77","volume-title":"Mongolian Syntax","author":"Q Gertai","year":"1991","unstructured":"Gertai, Q.: Mongolian Syntax, pp. 77\u2013133. Mongolia People Publishing House, Hohhot (1991)"},{"key":"17_CR24","unstructured":"Temusurvn and Otegen: Mongolian Orthography Dictionary, pp. 77\u2013133. Inner Mongolia People Publishing House, Hohhot (1999)"},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Bao, F., Gao, G., Yan, X., Wang, W.: Segmentation-based Mongolian LVCSR approach. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing, pp. 8136\u20138139 (2013)","DOI":"10.1109\/ICASSP.2013.6639250"},{"key":"17_CR26","doi-asserted-by":"crossref","unstructured":"Ling, W., et al.: Finding function in form: compositional character models for open vocabulary word representation. Computer Science, pp. 1899\u20131907 (2015)","DOI":"10.18653\/v1\/D15-1176"},{"issue":"10","key":"17_CR27","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","volume":"28","author":"Klaus Greff","year":"2017","unstructured":"Greff, K., Srivastava, R.K., Koutnik, J., Steunebrink, B.R., Schmidhuber, J.: LSTM: a search space odyssey. IEEE Trans. Neural Netw. Learn. Syst. 28(10), 2222\u20132232 (2016)","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"11","key":"17_CR28","doi-asserted-by":"publisher","first-page":"2673","DOI":"10.1109\/78.650093","volume":"45","author":"M Schuster","year":"2002","unstructured":"Schuster, M., Paliwal, K.K.: Bidirectional recurrent neural networks. IEEE Trans. Signal Process. 45(11), 2673\u20132681 (2002)","journal-title":"IEEE Trans. Signal Process."},{"key":"17_CR29","unstructured":"Mikolov, T., et al.: Efficient estimation of word representations in vector space. Computer Science (2013)"},{"key":"17_CR30","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"key":"17_CR31","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"17_CR32","unstructured":"Chen, X., Xu, L., Liu, Z., Sun, M., Luan, H.B.: Joint learning of character and word embeddings. In: International Conference on Artificial Intelligence, pp. 1236\u20131242, AAAI Press (2015)"},{"key":"17_CR33","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. Computer Science (2014)"},{"key":"17_CR34","unstructured":"Huang, Z., Xu, W., Yu, K.: Bidirectional LSTM-CRF models for sequence tagging. Computer Science (2015)"},{"key":"17_CR35","unstructured":"Liu, R., Bao, F., Gao, G., Wang, Y., et al.: Character-based joint segmentation and POS tagging for Chinese using bidirectional RNN-CRF. In: 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Taipei, Taiwan (2017)"},{"key":"17_CR36","doi-asserted-by":"crossref","unstructured":"Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural architectures for named entity recognition. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, California, pp. 260\u2013270 (2016)","DOI":"10.18653\/v1\/N16-1030"},{"key":"17_CR37","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/978-981-10-8111-8_10","volume-title":"Man-Machine Speech Communication","author":"R Liu","year":"2018","unstructured":"Liu, R., Bao, F., Gao, G., Wang, Y.: Mongolian text-to-speech system based on deep neural network. In: Tao, J., Zheng, T.F., Bao, C., Wang, D., Li, Y. (eds.) NCMMSC 2017. CCIS, vol. 807, pp. 99\u2013108. Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-10-8111-8_10"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2018: Trends in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97304-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,28]],"date-time":"2022-08-28T07:37:12Z","timestamp":1661672232000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97304-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319973036","9783319973043"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97304-3_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}