نتایج جستجو برای: target text
تعداد نتایج: 556738 فیلتر نتایج به سال:
Cross language text categorization is the task of exploiting labelled documents in a source language (e.g. English) to classify documents in a target language (e.g. Chinese). In this paper, we focus on investigating the use of a bilingual lexicon for cross language text categorization. To this end, we propose a novel refinement framework for cross language text categorization. The framework con...
the extent to which written corrective feedback on linguistic errors can play a role in helping l2 writers improve the accuracy of their writing continues to be an issue of interest to researchers and teachers since truscott (1996) mounted a case for its abolition. while there is growing empirical evidence that written corrective feedback can successfully target some types of linguistic error (...
This paper describes how to translate the compiler directives for conditional compilation in automated source-to-source translation between high-level programming languages. The directives for conditional compilation of the source language are translated into the corresponding directives of the target language, and the source program text of each branch of conditional compilation is translated ...
Bag-of-words representations are used in many NLP applications, such as text classification and sentiment analysis. These representations ignore relations across different sentences in a text and disregard the underlying structure of documents. In this work, we present a method for text classification that takes into account document structure and only considers segments that contain informatio...
In this work, we propose that a pre-processing method for changing text data to conform closer to the distribution of standard English will help increase the performance of many state-of-the-art NLP models and algorithms when confronted with data taken “from the wild”. Our system receives as input a text word, sentence or paragraph which we assume contains (possibly none) random corruptions; fo...
Using enhanced text to facilitate recognition of drug names: evidence from two experimental studies.
Two studies examined the effects of enhanced text on immediate recognition of drug names. Study 1 sampled 102 college students using a between-subjects design, while Study 2 sampled 11 practicing pharmacists and technicians using a within-subjects Latin square design. Both studies utilized a computer-based sequential recognition task where a prime word was shown with various text enhancements, ...
The primary purpose of this study is to find out which approach is more effective, text-based approach or dictionary-based approach, in learners’ mastery of new words and the time duration in learners’ memory. Group A learners received a text containing ten target words with explanations. Group B learners received the material of the same target words with meanings and examples. Ten minutes lat...
To compensate for the variability in native English intonation and the unpredictability of nonnative speech, we propose a new method of assessing nonnative intonation without any prior knowledge of the target text or phonetics. After recognition of tone events with HMMs and a bigram model of intonation, we define an utterance’s automatic intonation score as the mean of the posterior probabiliti...
The use of n-gram metrics to evaluate the output of MT systems is widespread. Typically, they are used in system development, where an increase in the score is taken to represent an improvement in the output of the system. However, purchasers of MT systems or services are more concerned to know how well a score predicts the acceptability of the output to a reader-user. Moreover, they usually wa...
This paper proposed a novel approach for describing the expressivity of dialog text and modelling their acoustic correlates for expressive text-to-speech (TTS) synthesis. We applied the Dialog Acts (DAs) in describing expressivity. In particular, we set up a Wizard-of-Oz (WoZ) data collection framework to collect the tourism domain corpus and annotated the DAs. A Pitch Target model which is opt...
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