作者: 為寵愛(ài) 時(shí)間: 2025-3-21 20:45
Controlling the Transition of Hidden States for Neural Machine Translation,ion. Then, we require the increment to be predictive of the word to translate. The proposed approach strengthens the relationship between the transition of the decoder and the translation. Empirical evaluation shows considerable improvements on Chinese-English, German-English, and English-German tra作者: Cabinet 時(shí)間: 2025-3-22 01:06
Shili Ge,Susu Wu,Xiaoxiao Chen,Rou Song cheapest transportation? Do we want the fastest, the safest, the cleanest, the most profitable, the most durable? There are many criteria which are to be consi978-3-540-06639-2978-3-642-80808-1Series ISSN 0075-8442 Series E-ISSN 2196-9957 作者: 內(nèi)向者 時(shí)間: 2025-3-22 08:36 作者: 粗糙 時(shí)間: 2025-3-22 12:12
Fangxu Liu,JinAn Xu,Gouyi Miao,Yufeng Chen,Yujie Zhang cheapest transportation? Do we want the fastest, the safest, the cleanest, the most profitable, the most durable? There are many criteria which are to be consi978-3-540-06639-2978-3-642-80808-1Series ISSN 0075-8442 Series E-ISSN 2196-9957 作者: 產(chǎn)生 時(shí)間: 2025-3-22 14:24
Jinghui Yan,Jiajun Zhang,JinAn Xu,Chengqing Zong cheapest transportation? Do we want the fastest, the safest, the cleanest, the most profitable, the most durable? There are many criteria which are to be consi978-3-540-06639-2978-3-642-80808-1Series ISSN 0075-8442 Series E-ISSN 2196-9957 作者: labile 時(shí)間: 2025-3-22 17:59 作者: 托運(yùn) 時(shí)間: 2025-3-22 22:16 作者: 使痛苦 時(shí)間: 2025-3-23 03:06 作者: Resistance 時(shí)間: 2025-3-23 09:26
Chao-Hong Liu,Catarina Cruz Silva,Longyue Wang,Andy Waynsportation modes as well as the number of units of each to be scheduled for service. What is the optimal solution? Are we interested in the cheapest transportation? Do we want the fastest, the safest, the cleanest, the most profitable, the most durable? There are many criteria which are to be consi作者: Inelasticity 時(shí)間: 2025-3-23 11:56
Zaixiang Zheng,Shujian Huang,Xin-Yu Dai,Jiajun Chenly consisted of, not so long ago. But secondlyand of greater interest, the geometrie setting rather quickly suggested new methods of attacking synthesis which have proved to be intuitive and economical; they are also easily reduced to matrix arith- metic as soonas you want to compute. The essence of作者: 剛毅 時(shí)間: 2025-3-23 16:17 作者: CHURL 時(shí)間: 2025-3-23 18:39 作者: 鄙視 時(shí)間: 2025-3-24 00:21
Bojie Hu,Ambyer Han,Shen Huangisted of, around fifteen years ago. But secondly and of greater interest, the geometric setting rather quickly sug- gested new methods of attacking synthesis which have proved to be intuitive and economical; they are also easily reduced to matrix arithmetic as soon as you want to compute. The essenc作者: archetype 時(shí)間: 2025-3-24 02:23 作者: 條約 時(shí)間: 2025-3-24 09:38
A Grammatical Analysis on Machine Translation Errors,pose to unravel causes leading to these errors. As illustrated with examples, clause complex presents different grammatical features from clause and the structural differences between Chinese and English at clause-complex level are the fundamental source of machine translation errors. This research,作者: Entrancing 時(shí)間: 2025-3-24 12:18
RST Discourse Parsing with Tree-Structured Neural Networks,l discourse parsing is notoriously difficult for the long distance of discourse and deep structures of discourse trees. In this paper, we build a tree-structured neural network for RST discourse parsing. We also introduce two tracking LSTMs to store long-distance information of a document to strengt作者: 令人發(fā)膩 時(shí)間: 2025-3-24 18:34 作者: FUSE 時(shí)間: 2025-3-24 21:22 作者: Interim 時(shí)間: 2025-3-25 02:00
Cross-Lingual Semantic Textual Similarity Modeling Using Neural Networks,on leveraging traditional NLP features (e.g., alignment features, syntactic features) to evaluate the semantic similarity of sentences. In this paper, we only use word embedding as basic features without any handcrafted features and build a model which is able to capture local and global semantic in作者: PHONE 時(shí)間: 2025-3-25 06:17
The Impact of Named Entity Translation for Neural Machine Translation,n this paper, we study a mainstream structure that incorporating an external named entity translation model to neural machine translation. We give several comparison experiments by applying different named entity translation model structures, to clearly represent the impact of this structure in impr作者: 建筑師 時(shí)間: 2025-3-25 10:06 作者: carotenoids 時(shí)間: 2025-3-25 15:35 作者: Picks-Disease 時(shí)間: 2025-3-25 17:41
Neural Name Translation Improves Neural Machine Translation, symbol. Previous solution (Luong et al. [.]) resorts to use multiple numbered unks to learn the correspondence between source and target rare words. However, testing words unseen in the training corpus cannot be handled by this method. And it also suffers from the noisy word alignment. In this pape作者: pus840 時(shí)間: 2025-3-25 21:41 作者: Nebulous 時(shí)間: 2025-3-26 01:41 作者: Afflict 時(shí)間: 2025-3-26 07:31
ical inference in linear models with correlated disturbances. The main aim of the study is to give a survey of new and old estimation techniques for regression models with disturbances that follow an autoregressive-moving average process. In the final chapter also several test strategies for discrim作者: 沙漠 時(shí)間: 2025-3-26 11:34 作者: 躺下殘殺 時(shí)間: 2025-3-26 12:51 作者: 平 時(shí)間: 2025-3-26 17:13
Yu Lu,Jiajun Zhang,Chengqing Zongcepts applicable to decision-making processes has increased the complexity of problems eligible for analytical treatment. One of the more pertinent criticisms of current decision-making theory and practice is directed against the traditional approximation of multiple goal behavior of men and organiz作者: 低三下四之人 時(shí)間: 2025-3-26 21:02 作者: regale 時(shí)間: 2025-3-27 03:24
Xia Li,Minping Chen,Zihang Zengicable to decision-making processes has increased the complexity of problems eligible for analytical treatment. One of the more pertinent criticisms of current decision-making theory and practice is directed against the traditional approximation of multiple goal behavior of men and organizations by 作者: AIL 時(shí)間: 2025-3-27 08:37 作者: 修飾 時(shí)間: 2025-3-27 13:17
Chao-Hong Liu,Catarina Cruz Silva,Longyue Wang,Andy Wayicable to decision-making processes has increased the complexity of problems eligible for analytical treatment. One of the more pertinent criticisms of current decision-making theory and practice is directed against the traditional approximation of multiple goal behavior of men and organizations by 作者: 不確定 時(shí)間: 2025-3-27 15:37 作者: Negotiate 時(shí)間: 2025-3-27 18:41 作者: cancer 時(shí)間: 2025-3-27 23:17 作者: Genome 時(shí)間: 2025-3-28 06:02
Bojie Hu,Ambyer Han,Shen Huang, time-invariant and of finite dynamic order. The book is ad- dressed to graduate students specializing in control, to engineering scientists involved in control systems research and development, and to mathemati- cians interested in systems control theory. The label "geometric" in the title is appl作者: 步履蹣跚 時(shí)間: 2025-3-28 07:28
into additive and multiplicative ones. It is common to pull them out of an uncertain plant model which results in a standard extended control configuration with a nominal plant model that is part of a controller feedback loop and a feedback block with a signal block collecting all weighted uncertai作者: 含糊 時(shí)間: 2025-3-28 11:12 作者: 傻瓜 時(shí)間: 2025-3-28 14:55 作者: 為寵愛(ài) 時(shí)間: 2025-3-28 20:18 作者: motivate 時(shí)間: 2025-3-28 22:57
https://doi.org/10.1007/978-981-13-3083-4machine translation; artificial intelligence; computational linguistics; Natural Language Processing (N作者: 辭職 時(shí)間: 2025-3-29 05:06 作者: 中止 時(shí)間: 2025-3-29 10:31 作者: 雜役 時(shí)間: 2025-3-29 15:18
RST Discourse Parsing with Tree-Structured Neural Networks,hen the representations for sentences and the entire document. Experimental results show that our proposed method obtains comparable performance regarding standard discourse parsing evaluations when compared with state-of-the-art systems.作者: ROOF 時(shí)間: 2025-3-29 18:38 作者: Innocence 時(shí)間: 2025-3-29 20:43 作者: 耕種 時(shí)間: 2025-3-30 00:17
A Grammatical Analysis on Machine Translation Errors,nces between English and Chinese. The effects of these differences on machine translation are also analyzed, while future improvement suggestions on machine translation technology are provided accordingly.作者: 油氈 時(shí)間: 2025-3-30 05:30
Neural Name Translation Improves Neural Machine Translation,ranslation model is further used to derive high quality NE alignment in the bilingual training corpus. With the integration of NE translation and alignment modules, our NMT system is able to surpass the baseline system by 2.9 BLEU points on the Chinese to English task.作者: sterilization 時(shí)間: 2025-3-30 10:18
1865-0929 ober 2018..The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.978-981-13-3082-7978-981-13-3083-4S
