{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T06:27:52Z","timestamp":1777444072157,"version":"3.51.4"},"reference-count":69,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T00:00:00Z","timestamp":1567123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["713567"],"award-info":[{"award-number":["713567"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Term translation quality in machine translation (MT), which is usually measured by domain experts, is a time-consuming and expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems often need to be updated for many reasons (e.g., availability of new training data, leading MT techniques). To the best of our knowledge, as of yet, there is no publicly-available solution to evaluate terminology translation in MT automatically. Hence, there is a genuine need to have a faster and less-expensive solution to this problem, which could help end-users to identify term translation problems in MT instantly. This study presents a faster and less expensive strategy for evaluating terminology translation in MT. High correlations of our evaluation results with human judgements demonstrate the effectiveness of the proposed solution. The paper also introduces a classification framework, TermCat, that can automatically classify term translation-related errors and expose specific problems in relation to terminology translation in MT. We carried out our experiments with a low resource language pair, English\u2013Hindi, and found that our classifier, whose accuracy varies across the translation directions, error classes, the morphological nature of the languages, and MT models, generally performs competently in the terminology translation classification task.<\/jats:p>","DOI":"10.3390\/info10090273","type":"journal-article","created":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T10:31:17Z","timestamp":1567161077000},"page":"273","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Terminology Translation in Low-Resource Scenarios"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1680-0099","authenticated-orcid":false,"given":"Rejwanul","family":"Haque","sequence":"first","affiliation":[{"name":"School of Computing, Dublin City University, Dublin 9 Glasnevin, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed","family":"Hasanuzzaman","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Cork Institute of Technology, T12 P928 Cork, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5736-5930","authenticated-orcid":false,"given":"Andy","family":"Way","sequence":"additional","affiliation":[{"name":"School of Computing, Dublin City University, Dublin 9 Glasnevin, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., and Zhu, W.J. (2002, January 7\u201312). BLEU: A Method for Automatic Evaluation of Machine Translation. Proceedings of the ACL-2002: 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, PA, USA.","DOI":"10.3115\/1073083.1073135"},{"key":"ref_2","unstructured":"Haque, R., Hasanuzzaman, M., and Way, A. (2019, January 7\u201313). TermEval: An automatic metric for evaluating terminology translation in MT. Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing, La Rochelle, France."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Haque, R., Penkale, S., and Way, A. (2014, January 23). Bilingual Termbank Creation via Log-Likelihood Comparison and Phrase-Based Statistical Machine Translation. Proceedings of the 4th International Workshop on Computational Terminology (Computerm), Dublin, Ireland.","DOI":"10.3115\/v1\/W14-4806"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/s10579-018-9412-4","article-title":"TermFinder: Log-likelihood comparison and phrase-based statistical machine translation models for bilingual terminology extraction","volume":"52","author":"Haque","year":"2018","journal-title":"Lang. Resour. Eval."},{"key":"ref_5","unstructured":"(2019, August 28). Devanagari. Available online: https:\/\/en.wikipedia.org\/wiki\/Devanagari."},{"key":"ref_6","unstructured":"Junczys-Dowmunt, M., Dwojak, T., and Hoang, H. (2016). Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions. arXiv."},{"key":"ref_7","unstructured":"Kunchukuttan, A., Mehta, P., and Bhattacharyya, P. (2017). The IIT Bombay English\u2014Hindi Parallel Corpus. arXiv."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Koehn, P., Och, F.J., and Marcu, D. (June, January 27). Statistical Phrase-based Translation. Proceedings of the HLT-NAACL 2003: Conference Combining Human Language Technology Conference Series and the North American Chapter of the Association For Computational Linguistics Conference Series, Edmonton, AB, Cananda.","DOI":"10.3115\/1073445.1073462"},{"key":"ref_9","unstructured":"Kalchbrenner, N., and Blunsom, P. (2013, January 18\u201321). Recurrent Continuous Translation Models. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), Seattle, WA, USA."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Cho, K., van Merri\u00ebnboer, B., G\u00fcl\u00e7ehre, \u00c7., Bougares, F., Schwenk, H., and Bengio, Y. (2014, January 25\u201329). Learning Phrase Representations using RNN Encoder\u2013Decoder for Statistical Machine Translation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar.","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref_11","unstructured":"Sutskever, I., Vinyals, O., and Le, Q.V. (2014, January 8\u201313). Sequence to Sequence Learning with Neural Networks. Proceedings of the 27th International Conference on Neural Information Processing Systems, Montreal, QC, Cananda."},{"key":"ref_12","unstructured":"Bahdanau, D., Cho, K., and Bengio, Y. (2015, January 7\u20139). Neural Machine Translation by Jointly Learning to Align and Translate. Proceedings of the 3rd International Conference on Learning Representations, San Diego, CA, USA."},{"key":"ref_13","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., and Polosukhin, I. (2017). Attention Is All You Need. arXiv."},{"key":"ref_14","unstructured":"Hassan, H., Aue, A., Chen, C., Chowdhary, V., Clark, J., Federmann, C., Huang, X., Junczys-Dowmunt, M., Lewis, W., and Li, M. (2018). Achieving Human Parity on Automatic Chinese to English News Translation. arXiv."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Gelbukh, A. (2002;, January 17\u201323). Multiword expressions: A pain in the neck for NLP. Proceedings of the CICLing 2002, the Third International Conference on Intelligent Text Processing and Computational Linguistics, Lecture Notes in Computer Science, Mexico City, Mexico.","DOI":"10.1007\/3-540-36456-0"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Mitkov, R., Monti, J., Pastor, G.C., and Seretan, V. (2018). Multiword Units in Machine Translation and Translation Technology, Current Issues in Linguistic Theory, John Benjamin Publishing Company.","DOI":"10.1075\/cilt.341"},{"key":"ref_17","first-page":"1","article-title":"Multiword Units in Machine Translation\u2014Book Review","volume":"34","author":"Haque","year":"2019","journal-title":"Mach. Transl."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Rigouts Terryn, A., Hoste, V., and Lefever, E. (2019). In no uncertain terms: A dataset for monolingual and multilingual automatic term extraction from comparable corpora. Lang. Resour. Eval.","DOI":"10.1007\/s10579-019-09453-9"},{"key":"ref_19","unstructured":"Pinnis, M., Ljube\u0161i\u0107, N., \u015etef\u0103nescu, D., Skadi\u0146a, I., Tadi\u0107, M., and Gornostay, T. (2012, January 19\u201322). Term Extraction, Tagging, and Mapping Tools for Under-Resourced Languages. Proceedings of the 10th Conference on Terminology and Knowledge Engineering (TKE 2012), Madrid, Spain."},{"key":"ref_20","unstructured":"Ar\u010dan, M., Turchi, M., Tonelli, S., and Buitelaar, P. (2014, January 22\u201326). Enhancing statistical machine translation with bilingual terminology in a cat environment. Proceedings of the 11th Biennial Conference of the Association for Machine Translation in the Americas (AMTA 2014), Vancouver, BC, USA."},{"key":"ref_21","unstructured":"Tiedemann, J. (2012, January 23\u201325). Parallel Data, Tools and Interfaces in OPUS. Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012), Istanbul, Turkey."},{"key":"ref_22","unstructured":"(2019, August 28). BitterCorpus. Available online: https:\/\/hlt-mt.fbk.eu\/technologies\/bittercorpus."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Sirmakessis, S. (2005). Terminology extraction: An analysis of linguistic and statistical approaches. Knowledge Mining, Springer.","DOI":"10.1007\/3-540-32394-5"},{"key":"ref_24","unstructured":"Farajian, M.A., Bertoldi, N., Negri, M., Turchi, M., and Federico, M. (2018, January 28\u201330). Evaluation of Terminology Translation in Instance-Based Neural MT Adaptation. Proceedings of the 21st Annual Conference of the European Association for Machine Translation, Alacant\/Alicante, Spain."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1162\/COLI_a_00072","article-title":"Towards Automatic Error Analysis of Machine Translation Output","volume":"37","author":"Ney","year":"2011","journal-title":"Comput. Linguist."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Bentivogli, L., Bisazza, A., Cettolo, M., and Federico, M. (2016). Neural versus Phrase-Based Machine Translation Quality: A Case Study. arXiv.","DOI":"10.18653\/v1\/D16-1025"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1515\/pralin-2017-0017","article-title":"A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines","volume":"108","author":"Burchardt","year":"2017","journal-title":"Prague Bull. Math. Linguist."},{"key":"ref_28","first-page":"28","article-title":"Machine Translation: Phrase-based, Rule-Based and Neural Approaches with Linguistic Evaluation","volume":"17","author":"Macketanz","year":"2017","journal-title":"Cybern. Inf. Technol."},{"key":"ref_29","unstructured":"Specia, L., Harris, K., Blain, F., Burchardt, A., Macketanz, V., Skadi\u0146a, I., Negri, M., and Turchi, M. (2017, January 18\u201322). Translation Quality and Productivity: A Study on Rich Morphology Languages. Proceedings of the MT Summit XVI: The 16th Machine Translation Summit, Nagoya, Japan."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"455","DOI":"10.5565\/rev\/tradumatica.77","article-title":"Multidimensional Quality Metrics (MQM): A Framework for Declaring and Describing Translation Quality Metrics","volume":"12","author":"Lommel","year":"2014","journal-title":"Tradum\u00e1tica"},{"key":"ref_31","unstructured":"Beyer, A.M., Macketanz, V., Burchardt, A., and Williams, P. (2017, January 29\u201331). Can out-of-the-box NMT Beat a Domain-trained Moses on Technical Data?. Proceedings of the EAMT User Studies and Project\/Product Descriptions, Prague, Czech Republic."},{"key":"ref_32","unstructured":"Du, J., Ar\u010dan, M., Liu, Q., and Isahara, H. (2018, January 2\u20137). Terminology Translation Accuracy in Statistical versus Neural MT: An Evaluation for the English\u2013Slovene Language Pair. Proceedings of the LREC 2018 Workshop MLP\u2013MomenT: The Second Workshop on Multi-Language Processing in a Globalising World and The First Workshop on Multilingualism at the intersection of Knowledge Bases and Machine Translation, Vancouver, BC, Canada."},{"key":"ref_33","unstructured":"Wu, Y., Schuster, M., Chen, Z., Le, Q.V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., and Macherey, K. (2016). Google\u2019s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. arXiv."},{"key":"ref_34","unstructured":"(2019, August 28). Karstology. Available online: https:\/\/en.wiktionary.org\/wiki\/karstology."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Haque, R., Hasanuzzaman, M., and Way, A. (2019, January 2\u20134). Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English. Proceedings of the RANLP 2019: Recent Advances in Natural Language Processing, Varna, Bulgaria. (to appear).","DOI":"10.26615\/978-954-452-056-4_052"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/978-3-319-50496-4_9","article-title":"A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT","volume":"Volume 10102","author":"Huang","year":"2016","journal-title":"Natural Language Understanding and Intelligent Applications, ICCPOL\/NLPCC 2016"},{"key":"ref_37","unstructured":"Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., and Zens, R. (2007, January 25\u201327). Moses: Open Source Toolkit for Statistical Machine Translation. Proceedings of the Interactive Poster and Demonstration Sessions, Prague, Czech Republic."},{"key":"ref_38","unstructured":"James, F. (2019, August 28). Modified Kneser-Ney Smoothing of N-Gram Models. Available online: https:\/\/core.ac.uk\/download\/pdf\/22877567.pdf."},{"key":"ref_39","unstructured":"Heafield, K., Pouzyrevs.ky, I., Clark, J.H., and Koehn, P. (2013, January 4\u20139). Scalable Modified Kneser\u2014Ney Language Model Estimation. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Sofia, Bulgaria."},{"key":"ref_40","unstructured":"Vaswani, A., Zhao, Y., Fossum, V., and Chiang, D. (2013, January 18\u201321). Decoding with Large-Scale Neural Language Models Improves Translation. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, Seattle, WA, USA."},{"key":"ref_41","unstructured":"Durrani, N., Schmid, H., and Fraser, A. (2011, January 19\u201324). A Joint Sequence Translation Model with Integrated Reordering. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Portland, OR, USA."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1162\/089120103321337421","article-title":"A Systematic Comparison of Various Statistical Alignment Models","volume":"29","author":"Och","year":"2003","journal-title":"Comput. Linguist."},{"key":"ref_43","unstructured":"Cherry, C., and Foster, G. (2012, January 3\u20138). Batch tuning strategies for statistical machine translation. Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Montr\u00e9al, QC, Canada."},{"key":"ref_44","unstructured":"Huang, L., and Chiang, D. (2007, January 23\u201330). Forest Rescoring: Faster Decoding with Integrated Language Models. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, Prague, Czech Republic."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Junczys-Dowmunt, M., Grundkiewicz, R., Dwojak, T., Hoang, H., Heafield, K., Neckermann, T., Seide, F., Germann, U., Fikri Aji, A., and Bogoychev, N. (2018, January 26\u201331). Marian: Fast Neural Machine Translation in C++. Proceedings of the ACL 2018, System Demonstrations; Association for Computational Linguistics, Melbourne, Australia.","DOI":"10.18653\/v1\/P18-4020"},{"key":"ref_46","first-page":"23","article-title":"A New Algorithm for Data Compression","volume":"12","author":"Gage","year":"1994","journal-title":"C Users J."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B., and Birch, A. (2016, January 7\u201312). Neural Machine Translation of Rare Words with Subword Units. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Berlin, Germany.","DOI":"10.18653\/v1\/P16-1162"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., and Sun, J. (2015). Deep Residual Learning for Image Recognition. arXiv.","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref_49","unstructured":"Ba, J.L., Kiros, J.R., and Hinton, G.E. (2016). Layer normalization. arXiv."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Press, O., and Wolf, L. (2016). Using the Output Embedding to Improve Language Models. arXiv.","DOI":"10.18653\/v1\/E17-2025"},{"key":"ref_51","unstructured":"Gal, Y., and Ghahramani, Z. (2016). A Theoretically Grounded Application of Dropout in Recurrent Neural Networks. arXiv."},{"key":"ref_52","unstructured":"Kingma, D.P., and Ba, J. (2014). Adam: A Method for Stochastic Optimization. arXiv."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Sennrich, R., Haddow, B., and Birch, A. (2015). Improving Neural Machine Translation Models with Monolingual Data. arXiv.","DOI":"10.18653\/v1\/P16-1009"},{"key":"ref_54","unstructured":"Poncelas, A., Shterionov, D., Way, A., de Buy Wenniger, G.M., and Passban, P. (2018, January 28\u201330). Investigating Backtranslation in Neural Machine Translation. Proceedings of the 21st Annual Conference of the European Association for Machine Translation (EAMT 2018), Alacant\/Alicante, Spain."},{"key":"ref_55","unstructured":"Bojar, O., Diatka, V., Rychl\u00fd, P., Stra\u0148\u00e1k, P., Suchomel, V., Tamchyna, A., and Zeman, D. (2014, January 26\u201331). HindEnCorp \u2013 Hindi-English and Hindi-only Corpus for Machine Translation. Proceedings of the Ninth International Language Resources and Evaluation Conference (LREC\u201914), Reykjavik, Iceland."},{"key":"ref_56","unstructured":"Koehn, P. (2005, January 12\u201316). Europarl: A parallel corpus for statistical machine translation. Proceedings of the MT Summit X: The Tenth Machine Translation Summit, Phuket, Thailand."},{"key":"ref_57","unstructured":"(2019, August 28). Moses Tokeniser. Available online: https:\/\/github.com\/moses-smt\/mosesdecoder\/blob\/master\/scripts\/tokenizer\/tokenizer.perl."},{"key":"ref_58","unstructured":"Denkowski, M., and Lavie, A. (2011, January 30\u201331). Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems. Proceedings of the Sixth Workshop on Statistical Machine Translation, Edinburgh, UK."},{"key":"ref_59","unstructured":"Snover, M., Dorr, B., Schwartz, R., Micciulla, L., and Makhoul, J. (2006, January 8\u201312). A Study of Translation Edit Rate with Targeted Human Annotation. Proceedings of the 7th Biennial Conference of the Association for Machine Translation in the Americas (AMTA-2006), Cambridge, MA, USA."},{"key":"ref_60","unstructured":"Lin, D., and Wu, D. (2004, January 25\u201326). Statistical Significance Tests for Machine Translation Evaluation. Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP), Barcelona, Spain."},{"key":"ref_61","unstructured":"Skadi\u0146\u0161, R., Puri\u0146\u0161, M., Skadi\u0146a, I., and Vasi\u013cjevs, A. (2011, January 30\u201331). Evaluation of SMT in localization to under-resourced inflected language. Proceedings of the 15th International Conference of the European Association for Machine Translation (EAMT 2011), Leuven, Belgium."},{"key":"ref_62","unstructured":"(2019, August 28). SDL Trados Studio. Available online: https:\/\/en.wikipedia.org\/wiki\/SDL_Trados_Studio."},{"key":"ref_63","unstructured":"(2019, August 28). PyQt. Available online: https:\/\/en.wikipedia.org\/wiki\/PyQt."},{"key":"ref_64","unstructured":"(2019, August 28). Gold Standard Data Set (English\u2013Hindi). Available online: https:\/\/www.computing.dcu.ie\/~rhaque\/termdata\/terminology-testset.zip."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1177\/001316446002000104","article-title":"A Coefficient of Agreement for Nominal Scales","volume":"20","author":"Cohen","year":"1960","journal-title":"Educ. Psychol. Measur."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1108\/eb046814","article-title":"An algorithm for suffix stripping","volume":"14","author":"Porter","year":"1980","journal-title":"Program"},{"key":"ref_67","unstructured":"Ramanathan, A., and Rao, D. (2003, January 12\u201317). Lightweight Stemmer for Hindi. Proceedings of the EACL 2003 Workshop on Computational Linguistics for South-Asian Languages\u2014Expanding Synergies with Europe, Budapest, Hungary."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Fellbaum, C. (1998). WordNet: An Electronic Lexical Database, MIT Press. Language, Speech, and Communication.","DOI":"10.7551\/mitpress\/7287.001.0001"},{"key":"ref_69","unstructured":"Narayan, D., Chakrabarti, D., Pande, P., and Bhattacharyya, P. (2002, January 21\u201325). An Experience in Building the Indo WordNet\u2014A WordNet for Hindi. Proceedings of the First International Conference on Global WordNet (GWC2002), Mysore, India."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/10\/9\/273\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:15:18Z","timestamp":1760188518000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/10\/9\/273"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,30]]},"references-count":69,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2019,9]]}},"alternative-id":["info10090273"],"URL":"https:\/\/doi.org\/10.3390\/info10090273","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,30]]}}}