Combining Machine Translation and Text Similarity Metrics To Identify Paraphrases in Turkish
| dc.contributor.author | Soleymanzadeh K. | |
| dc.contributor.author | Karaoğlan B. | |
| dc.contributor.author | Metin S.K. | |
| dc.contributor.author | Kişla T. | |
| dc.date.accessioned | 2023-06-16T15:00:56Z | |
| dc.date.available | 2023-06-16T15:00:56Z | |
| dc.date.issued | 2018 | |
| dc.description | Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas | en_US |
| dc.description | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780 | en_US |
| dc.description.abstract | Paraphrase identification (PI) is to recognize whether given two sentences are restatements of each other or not. In our study we propose an approach that exploits machine translation and text similarity metrics as features for PI. Machine learning algorithms like Support Vector Machine (SVM) with three different kernels, C4.5 Decision tree and Multinomial Naïve Bayes (NB) are trained with these features. We evaluated our system on Parder, Turkish paraphrase corpus. The experimental results show that the proposed approach offers state-of-the-art results. © 2018 IEEE. | en_US |
| dc.identifier.doi | 10.1109/SIU.2018.8404633 | |
| dc.identifier.isbn | 9.78E+12 | |
| dc.identifier.scopus | 2-s2.0-85050799621 | |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2018.8404633 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3613 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Machine translation metrics | en_US |
| dc.subject | Paraphrase Identification | en_US |
| dc.subject | Text similarity metrics | en_US |
| dc.subject | Barium compounds | en_US |
| dc.subject | Computational linguistics | en_US |
| dc.subject | Computer aided language translation | en_US |
| dc.subject | Data mining | en_US |
| dc.subject | Decision trees | en_US |
| dc.subject | Image retrieval | en_US |
| dc.subject | Learning algorithms | en_US |
| dc.subject | Sodium compounds | en_US |
| dc.subject | Support vector machines | en_US |
| dc.subject | C4.5 decision trees | en_US |
| dc.subject | Machine translations | en_US |
| dc.subject | Multinomials | en_US |
| dc.subject | Paraphrase corpus | en_US |
| dc.subject | Paraphrase identifications | en_US |
| dc.subject | State of the art | en_US |
| dc.subject | Text similarity | en_US |
| dc.subject | Turkishs | en_US |
| dc.subject | Signal processing | en_US |
| dc.title | Combining Machine Translation and Text Similarity Metrics To Identify Paraphrases in Turkish | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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| gdc.description.departmenttemp | Soleymanzadeh, K., International Computer Institute Ege University, Izmir, Turkey; Karao?lan, B., International Computer Institute Ege University, Izmir, Turkey; Metin, S.K., Faculty of Engineering, Izmir University of Economics, Izmir, Turkey; Kişla, T., Department of Computer Education and Instructional Technology, Ege University, Izmir, Turkey | en_US |
| gdc.description.endpage | 4 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1 | en_US |
| gdc.description.wosquality | N/A | |
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| gdc.oaire.keywords | Machine translation metrics | |
| gdc.oaire.keywords | text similarity metrics | |
| gdc.oaire.keywords | paraphrase Identification | |
| gdc.oaire.keywords | machine translation metrics | |
| gdc.oaire.keywords | Paraphrase Identification | |
| gdc.oaire.keywords | Text similarity metrics | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.virtual.author | Kumova Metin, Senem | |
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