{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T16:47:07Z","timestamp":1781714827961,"version":"3.54.5"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030313715","type":"print"},{"value":"9783030313722","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-31372-2_10","type":"book-chapter","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T00:02:49Z","timestamp":1569542569000},"page":"112-123","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Language Comparison via Network Topology"],"prefix":"10.1007","author":[{"given":"Bla\u017e","family":"\u0160krlj","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Senja","family":"Pollak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,9,27]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Asgari, E., Sch\u00fctze, H.: Past, present, future: a computational investigation of the typology of tense in 1000 languages. \n                      arXiv:1704.08914\n                      \n                     (2017)","DOI":"10.18653\/v1\/D17-1011"},{"issue":"2","key":"10_CR2","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1162\/coli_a_00351","volume":"4","author":"J Bjerva","year":"2019","unstructured":"Bjerva, J., \u00d6stling, R., Han Veiga, M., Tiedemann, J., Augenstein, I.: What do language representations really represent? Comput. Linguist. 4(2), 381\u2013389 (2019)","journal-title":"Comput. Linguist."},{"key":"10_CR3","volume-title":"Modern Graph Theory","author":"B Bollob\u00e1s","year":"2013","unstructured":"Bollob\u00e1s, B.: Modern Graph Theory, vol. 184. Springer, Heidelberg (2013)"},{"key":"10_CR4","unstructured":"Boudin, F.: PKE: an open source python-based keyphrase extraction toolkit. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, Osaka, Japan, pp. 69\u201373, December 2016"},{"key":"10_CR5","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.comcom.2016.12.011","volume":"100","author":"MA Brandao","year":"2017","unstructured":"Brandao, M.A., Moro, M.M.: Social professional networks: a survey and taxonomy. Comput. Commun. 100, 20\u201331 (2017)","journal-title":"Comput. Commun."},{"key":"10_CR6","first-page":"43","volume-title":"Linguistic Typology and the Study of Language","author":"M Daniel","year":"2010","unstructured":"Daniel, M.: Linguistic Typology and the Study of Language, pp. 43\u201368. Oxford University Press, Oxford (2010)"},{"issue":"1","key":"10_CR7","first-page":"011027","volume":"5","author":"M Domenico De","year":"2015","unstructured":"De Domenico, M., Lancichinetti, A., Arenas, A., Rosvall, M.: Identifying modular flows on multilayer networks reveals highly overlapping organization in interconnected systems. Phys. Rev. X 5(1), 011027 (2015)","journal-title":"Phys. Rev. X"},{"key":"10_CR8","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. \n                      arXiv:1810.04805\n                      \n                     (2018)"},{"issue":"3\u20135","key":"10_CR9","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","volume":"486","author":"S Fortunato","year":"2010","unstructured":"Fortunato, S.: Community detection in graphs. Phys. Rep. 486(3\u20135), 75\u2013174 (2010)","journal-title":"Phys. Rep."},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.knosys.2018.03.022","volume":"151","author":"P Goyal","year":"2018","unstructured":"Goyal, P., Ferrara, E.: Graph embedding techniques, applications, and performance: a survey. Knowl. Based Syst. 151, 78\u201394 (2018)","journal-title":"Knowl. Based Syst."},{"key":"10_CR11","unstructured":"Hagberg, A., Swart, P., S Chult, D.: Exploring network structure, dynamics, and function using networkx. Technical report, LANL, Los Alamos, NM, USA (2008)"},{"issue":"8","key":"10_CR12","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"10_CR13","unstructured":"Kepser, S., Reis, M.: Linguistic evidence: empirical, theoretical and computational perspectives, vol.\u00a085. Walter de Gruyter (2008)"},{"key":"10_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/11816508_12","volume-title":"Advances in Natural Language Processing","author":"K Kettunen","year":"2006","unstructured":"Kettunen, K., Sadeniemi, M., Lindh-Knuutila, T., Honkela, T.: Analysis of EU languages through text compression. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds.) FinTAL 2006. LNCS (LNAI), vol. 4139, pp. 99\u2013109. Springer, Heidelberg (2006). \n                      https:\/\/doi.org\/10.1007\/11816508_12"},{"issue":"32","key":"10_CR15","first-page":"1","volume":"20","author":"J Kralj","year":"2019","unstructured":"Kralj, J., Robnik-Sikonja, M., Lavrac, N.: NETSDM: semantic data mining with network analysis. J. Mach. Learn. Res. 20(32), 1\u201350 (2019)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Loper, E., Bird, S.: Nltk: the natural language toolkit. arXiv cs\/0205028 (2002)","DOI":"10.3115\/1118108.1118117"},{"key":"10_CR17","unstructured":"McKinney, W.: pandas: a foundational python library for data analysis and statistics. Python High Perform. Sci. Comput. 14 (2011)"},{"issue":"4","key":"10_CR18","doi-asserted-by":"publisher","first-page":"e34928","DOI":"10.1371\/journal.pone.0034928","volume":"7","author":"NB Mota","year":"2012","unstructured":"Mota, N.B., Vasconcelos, N.A., Lemos, N., Pieretti, A.C., Kinouchi, O., Cecchi, G.A., Copelli, M., Ribeiro, S.: Speech graphs provide a quantitative measure of thought disorder in psychosis. PLoS ONE 7(4), e34928 (2012)","journal-title":"PLoS ONE"},{"key":"10_CR19","unstructured":"Nivre, J., et al.: Universal dependencies v1: a multilingual treebank collection. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), pp. 1659\u20131666 (2016)"},{"issue":"1","key":"10_CR20","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s11786-017-0329-x","volume":"12","author":"A Port","year":"2018","unstructured":"Port, A., et al.: Persistent topology of syntax. Math. Comput. Sci. 12(1), 33\u201350 (2018)","journal-title":"Math. Comput. Sci."},{"key":"10_CR21","unstructured":"Rama, T., Kolachina, P.: How good are typological distances for determining genealogical relationships among languages? In: Proceedings of COLING 2012: Posters, pp. 975\u2013984 (2012)"},{"issue":"1","key":"10_CR22","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1140\/epjst\/e2010-01179-1","volume":"178","author":"M Rosvall","year":"2009","unstructured":"Rosvall, M., Axelsson, D., Bergstrom, C.T.: The map equation. Eur. Phys. J. Spec. Top. 178(1), 13\u201323 (2009)","journal-title":"Eur. Phys. J. Spec. Top."},{"key":"10_CR23","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/978-3-030-05411-3_60","volume-title":"Complex Networks and Their Applications VII","author":"B \u0160krlj","year":"2019","unstructured":"\u0160krlj, B., Kralj, J., Lavra\u010d, N.: Py3plex: a library for scalable multilayer network analysis and visualization. In: Aiello, L.M., Cherifi, C., Cherifi, H., Lambiotte, R., Li\u00f3, P., Rocha, L.M. (eds.) COMPLEX NETWORKS 2018. SCI, vol. 812, pp. 757\u2013768. Springer, Cham (2019). \n                      https:\/\/doi.org\/10.1007\/978-3-030-05411-3_60"},{"issue":"3","key":"10_CR24","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1093\/bioinformatics\/btq675","volume":"27","author":"ME Smoot","year":"2010","unstructured":"Smoot, M.E., Ono, K., Ruscheinski, J., Wang, P.L., Ideker, T.: Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics 27(3), 431\u2013432 (2010)","journal-title":"Bioinformatics"},{"key":"10_CR25","unstructured":"Tiedemann, J.: Parallel data, tools and interfaces in opus. In: LREC, vol. 2012, pp. 2214\u20132218 (2012)"},{"key":"10_CR26","volume-title":"Dictionary of Historical and Comparative Linguistics","year":"2000","unstructured":"Trask, R.L. (ed.): Dictionary of Historical and Comparative Linguistics. Edinburgh University Press, Edinburgh (2000)"},{"key":"10_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, D., Yin, J., Zhu, X., Zhang, C.: Network representation learning: a survey. IEEE Trans. Big Data (2018)","DOI":"10.1109\/TBDATA.2018.2850013"}],"container-title":["Lecture Notes in Computer Science","Statistical Language and Speech Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31372-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T00:03:31Z","timestamp":1569542611000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-31372-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030313715","9783030313722"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31372-2_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"27 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SLSP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Statistical Language and Speech Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ljubljana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovenia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"slsp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/slsp2019.irdta.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"48","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":"25","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":"1","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":"52% - 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":"4","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)"}}]}}