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Recent research has shown clear improvement in translation quality by exploiting linguistic syntax for either the source or target language. However, when using syntax for both languages (“tree-to-t...
Fine-grained opinion analysis methods often make use of linguistic features but typically do not take the interaction between opinions into account. This article describes a set of experiments that de...
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...
Features and Values     Features and Values       2015/6/18
The paper discusses the linguistic aspects of a new general purpose facility for computing with features. The program was developed in connection with the course I taught at the University of Texas in...
Part-of-speech tagging, like any supervised statistical NLP task, is more difficult when test sets are very different from training sets, for example when tagging across genres or language varieties. ...
We present two regression models for the prediction of pairwise preference judgments among MT hypotheses. Both models are based on feature sets that are motivated by textual entailment and incorporate...
Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We believe that the main rea...
We present a new Java-based open source toolkit for phrase-based machine translation. The key innovation provided by the toolkit is to use APIs for integrating new features (/knowledge sources) into t...
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 investigate the use of deep neural networks (DNNs) to generate a stacked bottleneck (SBN) feature representation for low-resource speech recognition. We examine different SBN extract...
We perform phonetic classiſcation with an architecture whose elements are binary classiſers trained via linear regularized least squares (RLS). RLS is a simple yet powerful regularization al...
Political euphemism is a tool for political leaders to control information transmission. Based on some examples, this paper begins with a summary of three features which distinguish political euphemis...
Part I of this two-part article examines two very useful features of most up-to-date e-mail software programs that can save the writing teacher time organizing, filing, retrieving, and responding to s...
Listening skills in English require an ability to identify stressed syllables, tonic stress in an utterance, and tones. While the testing of the identification of syllables can be done on individual a...
A corollary of the electronic era in the area of electronic lexicography is the development and use of electronic dictionaries in language learning. This paper is concerned with the identification a...

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