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鲁东大学交替传译课件Lecture8 Memory Training
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
The lack of reliable Chinese sentiment resources limits research progress on Chinese sentiment classification. However, there are many freely available English sentiment resources on the Web. This art...
Training Tree Transducers     Computing language  Transducers       2015/9/6
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for granted in (finite-...
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimize. Building on the w...
Minimum error rate training (MERT) is a widely used learning procedure for statistical machine translation models. We contrast three search strategies for MERT: Powell’s method, the variant of coordin...
In this paper, we explore multilingual feature-level data sharing via Deep Neural Network (DNN) stacked bottleneck features. Given a set of available source languages, we apply language identification...
In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeling framework, we desc...
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngrams from such corpora m...
BAUM-WELCH TRAINING FOR SEGMENT-BASED SPEECH RECOGNITION.
Reflective practice is an essential component of pre-service teacher training programs. It facilitates the linking of theory and practice and empowers trainees to seek reasons behind their practices a...
Although discriminative training guarantees to improve statistical machine translation by in-corporating a large amount of overlapping fea-tures, it is hard to scale up to large data due to decoding c...
This paper focuses on the impact of the organization of teaching approaches on the effectiveness of training for Jordanian EFL teachers. The sample for this study is drawn from all government schools...
This study aims to evaluate and investigate the influence of teaching techniques on the performance of English as Foreign Language (EFL) teachers by evaluating the techniques’ effectiveness and actua...

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