[PDF] Top 20 Learning to Select a Good Translation
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Learning to Select a Good Translation
... coling2 dvi Learning to Select a Good Translation Dan Tidhar and Uwe K?ussner Technische Universit?at Berlin Fachbereich Informatik Franklinstr 28/29 D 10587 Berlin Germany fuk|dang@cs tu berlin de Ab[.] ... See full document
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Learning to select software components
... supervised learning, the last attribute denotes the classification of the entry, in this case ...We select training data that sits close to the boundary between acceptance and rejection, along with some ... See full document
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Neural Document Summarization by Jointly Learning to Score and Select Sentences
... Conventional approaches to extractive document summarization contain two separated steps: sen- tence scoring and sentence selection. In this pa- per, we present a novel neural network frame- work for extractive document ... See full document
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Learning to Select Features using their Properties
... new good features in the presence of a huge number of features, and to dramatically reduce the number of feature measurements ...joint learning problem of selection and classification, and how it ... See full document
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A neurocomputational model of learning to select actions
... In the first part of the paper we present a schema-theoretic model of action selection where competition between motor and/or cognitive schemas is resolved using a variation of a neuroanatomically detailed model of the ... See full document
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Learning to select data for transfer learning with Bayesian Optimization
... transfer learning focuses on phrase-based machine transla- ...to select tar- get data (Moore and Lewis, 2010; Axelrod et ...machine translation (van der Wees et ...to select training data for ... See full document
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Using a Supertagged Dependency Language Model to Select a Good Translation in System Combination
... candidate translation selection, Hassan et ...the translation model and the target n-gram ...supertag-based translation model and supertagged LM can achieve significant ... See full document
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Learning to Select, Track, and Generate for Data to Text
... , (12) where W 0H is a new weight matrix. Since this new context vector h 0 t is used for calculating the proba- bility over words in Equation (10), the writer infor- mation will directly affect word generation, which is ... See full document
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An Agent-Based Approach to Interbank Market Lending Decisions and Risk Implications
... hand, learning agents can improve their performance through learning from past 87 ...Reinforcement learning methods are often used in developing learning ...to select an action for each ... See full document
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Facilitation of learning Part 2.
... Planned learning does not need to be a sit down session with a flipchart or presentation (Bailey-McHale & Hart ...thus learning by doing (Race ...planning learning opportunities in practice ... See full document
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Writing and using good learning outcomes
... effectiveness of appropriate safeguards in a variety of contexts. You should be able to justify your methods and conclusions by selective and critical use of relevant theories, models and procedures.” 2. From a BA Art, ... See full document
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Learning how to act: making good decisions with machine learning
... machine learning work is to guide us to make better ...machine learning is to be as transformative in fields such as economics, medicine and social science as it has been for image recognition, voice ... See full document
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A Comparison of Supervised Learning Techniques for Predicting the Mortality of Patients with Altered State of Consciousness
... Supervised learning techniques do benefit from large data size. In general, when more training data is used, the predictive power of the techniques will increase [23]. Moreover, more training is required when ... See full document
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Active Learning for Interactive Neural Machine Translation of Data Streams
... active learning techniques to the translation of unbounded data streams via interactive neural machine ...to select, from an unbounded stream of source sentences, those worth to be supervised by a ... See full document
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Cross Lingual Sentiment Analysis Without (Good) Translation
... jointly trained models was proposed by Duong et al. (2016) and later used to project multiple lan- guages in the same vector space (Duong et al., 2017). The model involved creating and mak- ing use of translations ... See full document
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Learning Hierarchical Translation Spans
... model, which represents if the source span cov- ered by a translation rule is a syntactic constituent. However, the experimental results showed this feature gave no significant improvement. Instead of using the ... See full document
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Name Translation in Statistical Machine Translation Learning When to Transliterate
... As already mentioned in the introduction, named entity (NE) identification followed by MT is a bad idea. We don’t want to identify NEs per se anyway — we want to identify things that our transliterator will be ... See full document
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The Impact of L1 Equivalents Versus Context on Vocabulary Recall of Pre-university EFL Students
... the translation recall test used in the present study is a kind of receptive ...of translation recall. Therefore, one cannot attribute the good performance of the low proficient learners in ... See full document
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Translation Revisited: A New Approach
... define translation scientifically, has become increasingly complex and ...of translation have suggested other terms such as ‘similarity’, ‘analogy’‘correspondence’ or ‘matching’ ...every translation ... See full document
7
Art: The Psychology of Effective Learning
... We all know we have to practice a skill to get better at it, but the improvement we’re aware of making is only part of what’s going on. Well past the point when we think we’ve ‘got it’, continued practice allows our ... See full document
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