Computer Science ›› 2020, Vol. 47 ›› Issue (2): 163-168.doi: 10.11896/jsjkx.190100048
• Artificial Intelligence • Previous Articles Next Articles
QIAO Bo-wen,LI Jun-hui
CLC Number:
[1]SUTSKEVER I,VINYALS O,LE Q V.Sequence to sequence learning with neural networks[C]∥Advances in neural information processing systems.Massachusetts:MIT Press,2014:3104-3112. [2]BAHDANAU D,CHO K,BENGIO Y.Neural Machine Translation by Jointly Learning to Align and Translate[C]∥Procee-dings of the 3rd International Conference on Learning Representations.San Diego,CA,USA:ICLR,2015:1-15. [3]LI Y C,XIONG D Y,ZHANG M.A Survey of Neural Machine Translation[J].Chinese Journal of Computers,2018,41(12):2734-2755. [4]GILDEA D,JURAFSKY D.Automatic Labeling of Semantic Roles[C]∥Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics.Hong Kong,China:Association for Computational Linguistics,2000:512-520. [5]WU D K,FUNG P.Semantic Roles for SMT:A Hybrid Two-Pass Model[C]∥Proceedings of the 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Boulder,Co-lorado:Association for Computational Linguistics,2009:13-16. [6]LIU D,GILDEA D.Semantic Role Features for Machine Translation[C]∥Proceedings of the 23rd International Conference on Computational Linguistics.Association for Computational Linguistics,Beijing,2010:716-724. [7]BAZRAFSHAN M,GILDEA D.Semantic Roles for String to Tree Machine Translation[C]∥Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics.Sofia,Bulgaria:Association for Computational Linguistics,2013:419-423. [8]GAO Q,VOGEL S.Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules[C]∥Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics.Portland,Oregon:Association for Computational Linguistics,2011:294-298. [9]XIONG D Y,ZHANG M,LI H Z.Modeling the Translation of Predicate-Argument Structure for SMT[C]∥Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics.Jeju,Republic of Korea:Association for Computational Linguistics,2012:902-911. [10]GAO Q,VOGEL S.Utilizing Target-Side Semantic Role Labels to Assist Hierarchical Phrase-based Machine Translation[C]∥Pro-ceedings of SSST-5,Fifth Workshop on Syntax,Semantics and Structure in Statistical Translation.Portland,Oregon,USA:Association for Computational Linguistics,2011:107-115. [11]LI J H,RESNIK P,DAUMÉ H.Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation[C]∥Proceedings of the 2013 Annual Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Atlanta,Georgia:Association for Computational Linguistics,2013:540-549. [12]LI J H,MARTON Y,RESNIK P,et al.A Unified Model for Soft Linguistic Reordering Constrains in Statistical Machine Translation[C]∥Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics.Baltimore,Maryland,USA:Association for Computational Linguistics,2014:1123-1133. [13]SENNRICH R,HADDOW B.Linguistic Input Features Improve Neural Machine Translation[C]∥Proceedings of the First Conference on Machine Translation.Berlin,Germany:Association for Computational Linguistics,2016:83-91. [14]LI J H,XIONG D Y,TU Z P,et al.Modeling Source Syntax for Neural Machine Translation[C]∥Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Vancouver,Canada:Association for Computational Linguistics,2017:688-697. [15]ERIGUCHI A,HASHIMOTO K,TSURUOKA Y.Tree-to-Sequence Attentional Neural Machine Translation[C]∥Procee-dings of the 54th Annual Meeting of the Association for Computational Linguistics.Berlin,Germany:Association for Computational Linguistics,2016:823-833. [16]CHEN H D,HUANG S J,CHIANG D,et al.Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder[C]∥Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Vancouver,Canada:Association for Computational Linguistics,2017:1936-1945. [17]CHEN K H,WANG R,UTIYAMA M,et al.Neural Machine Translation with Source Dependency Representation[C]∥Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.Copenhagen,Denmark:Association for Computational Linguistics,2017:2846-2852. [18]WU S Z,ZHOU M,ZHANG D D.Improved Neural Machine Translation with Source Syntax[C]∥Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence.Melbourne,Australia:IJCAI,2017:4179-4185. [19]AHARONI R,GOLDBERG Y.Towards String-to-Tree Neural Machine Translation[C]∥Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Vancouver,Canada:Association for Computational Linguistics,2017:132-140. [20]MORISHITA M,SUZUKI J,NAGATA M.Improving NeuralMachine Translation by Incorporating Hierarchical Subword Features[C]∥Proceedings of the 27th International Conference on Computational Linguistics.Santa Fe,New-Mexico,USA:COLING,2018:618-629. [21]XIONG D Y,LI J H,WANG X,et al.Neural Machine Translation with Constraints[J].Scientia Sinica Informationis,2018,48(5):574-588. [22]WANG Q,DUAN X Y.Neural Machine Translation Based on Attention Convolution[J].Computer Science,2018,45(11):226-230. [23]CHO K,MERRIENBOER B V,BAHDANAU D.On the Properties of Neural Machine Translation:Encoder-Decoder Approaches[C]∥Proceedings of SSST-8,Eighth Workshop on Syntax,Semantics and Structure in Statistical Translation.Doha,Qatar:Association for Computational Linguistics,2014:103-111. [24]CHUNG J,GULCEHRE C,CHO K,et al.Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling[C]∥Proceedings of the Twenty-eighth Conference on Neural Information Processing Systems.Montreal,Quebec,Canada:NIPS,2014:1-9. [25]ZEILER M D.An Adaptive Learning Rate Method[J].arXiv:1212.5701. [26]PETROV S,KLEIN D.Improved Inference for Unlexicalized Parsing[C]∥Proceedings of the 2007 Annual Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Rochester,NY:Association for Computational Linguistics,2007:404-411. [27]LI J H,ZHOU G D,HWEE T N.Joint Syntactic and Semantic Parsing of Chinese[C]∥Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.Uppsala,Sweden:Association for Computational Linguistics,2010:1108-1117. [28]PAPINENI K,ROUKOS S,WARD T,et al.BLEU:a Method for Automatic Evaluation of Machine Translation[C]∥Procee-dings of the 40th Annual Meeting of the Association for Computational Linguistics.Philadelphia:Association for Computational Linguistics,2002:311-318. [29]SNOVER M,DORR B,SCHWARTZ R,et al.A Study of Translation Edit Rate with Targeted Human Annotation[C]∥Proceedings of Association for Machine Translation in the Americas.2006:231-231. [30]ISOZAKI H,HIRAO T,DUH K,et al.Automatic Evaluation of Translation Quality for Distant Language Pairs[C]∥Procee-dings of the 2010 Conference on Empirical Methods in Natural Language Processing.MIT,Massachusetts:Association for Computational Linguistics,2010:944-952. |
[1] | DENG Wei-bin, ZHU Kun, LI Yun-bo, HU Feng. FMNN:Text Classification Model Fused with Multiple Neural Networks [J]. Computer Science, 2022, 49(3): 281-287. |
[2] | LIU Jun-peng, SU Jin-song, HUANG De-gen. Incorporating Language-specific Adapter into Multilingual Neural Machine Translation [J]. Computer Science, 2022, 49(1): 17-23. |
[3] | LIU Yan, XIONG De-yi. Construction Method of Parallel Corpus for Minority Language Machine Translation [J]. Computer Science, 2022, 49(1): 41-46. |
[4] | WANG Shi-hao, WANG Zhong-qing, LI Shou-shan, ZHOU Guo-dong. Event Argument Extraction Using Gated Graph Convolution and Dynamic Dependency Pooling [J]. Computer Science, 2021, 48(11A): 52-56. |
[5] | GAO Nan,LI Li-juan,Wei-william LEE,ZHU Jian-ming. Keywords Extraction Method Based on Semantic Feature Fusion [J]. Computer Science, 2020, 47(3): 110-115. |
[6] | XIE Nian-nian, ZENG Fan-ping, ZHOU Ming-song, QIN Xiao-xia, LV Cheng-cheng, CHEN Zhao. Android Malware Detection with Multi-dimensional Sensitive Features [J]. Computer Science, 2019, 46(2): 95-101. |
[7] | QIU Shao-jian, CAIZi-yi, LU Lu. Cost-sensitive Convolutional Neural Network Model for Software Defect Prediction [J]. Computer Science, 2019, 46(11): 156-160. |
[8] | LIU Ying, ZHANG Shuai, GE Yu-xiang, WANG Fu-ping, LI Da-xiang. Survey of Tire Pattern Image Retrieval Techniques [J]. Computer Science, 2018, 45(12): 52-60. |
[9] | WANG Qi, DUAN Xiang-yu. Neural Machine Translation Based on Attention Convolution [J]. Computer Science, 2018, 45(11): 226-230. |
[10] | JIANG Zheng and CHENG Chun-ling. Improved HOG Face Feature Extraction Algorithm Based on Haar Characteristics [J]. Computer Science, 2017, 44(1): 303-307. |
[11] | ZHANG Dong-wen, YANG Peng-fei and XU Yun-feng. Research of Chinese Comments Sentiment Classification Based on Word2vec and SVMperf [J]. Computer Science, 2016, 43(Z6): 418-421. |
[12] | . Research on Collaborative Semantic Feature Modeling System [J]. Computer Science, 2012, 39(2): 280-282. |
[13] | JIN Ying-hao,SUN Li-juan. Research of Representation Based on Feature Semantic for Models [J]. Computer Science, 2011, 38(1): 286-289. |
[14] | SUN Li-juan,JIN Ying-hao. Strategy of Feature Interaction Based on the Sufficiency Principle [J]. Computer Science, 2010, 37(8): 270-272. |
[15] | . [J]. Computer Science, 2008, 35(3): 155-157. |
|