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Titlebook: Hybrid Approaches to Machine Translation; Marta R. Costa-jussà,Reinhard Rapp,Bogdan Babych Book 2016 Springer International Publishing Swi

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11#
發(fā)表于 2025-3-23 10:11:57 | 只看該作者
12#
發(fā)表于 2025-3-23 17:52:56 | 只看該作者
13#
發(fā)表于 2025-3-23 18:56:42 | 只看該作者
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledgemachine translation systems, showing what is currently working well, and what isn’t. We also look at trade-offs in using linguistic knowledge (“rules”) in pre- or post-processing by language pair, with a particular eye on the return on investment as training data increases in size.
14#
發(fā)表于 2025-3-24 00:25:57 | 只看該作者
Hybrid Word Alignmentline PB-SMT model and subsequently validating the chunk hypotheses using a fuzzy matching technique against the target corpus. Experiments are carried out after single-tokenizing the multiword NEs. The effectiveness of the proposed hybrid alignment model was extrinsically evaluated on the MT quality
15#
發(fā)表于 2025-3-24 05:13:38 | 只看該作者
16#
發(fā)表于 2025-3-24 08:29:31 | 只看該作者
17#
發(fā)表于 2025-3-24 11:39:10 | 只看該作者
Creating Hybrid Dependency Parsers for Syntax-Based MTTo truly see the effect of hybrid dependency parsers on machine translation, we will describe and evaluate a combined resource we have released, that contains gold standard dependency trees along with gold standard translations.
18#
發(fā)表于 2025-3-24 15:10:57 | 只看該作者
d filtering out the irrelevant ones, which significantly optimizes the process of spatial information aggregation. Extensive experimental results on two real public traffic datasets, METR-LA and PEMS-BAY, demonstrate the superior performance of our algorithm.
19#
發(fā)表于 2025-3-24 20:14:17 | 只看該作者
Cristina Espa?a-Bonet,Marta R. Costa-jussàironment, which is manifested in three aspects: perceived attention discontinuity, lingering thought, social media notification.; Under simple training or natural conditions, students have poor adaptability in the personal learning environment, and their behavior perception and behavior adjustment l
20#
發(fā)表于 2025-3-24 23:23:20 | 只看該作者
or Machine (SVM) for improving performance of activity recognition. We also applied feature selection method to the collected data to decrease time complexity and increase the performance. Many experiments are conducted in this work to evaluate performance of the presented technique with human activ
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