On the use of speech recognition in computer assisted translation
نویسندگان
چکیده
Computer-Assisted Translation systems can be used by human translators to increase their productivity. In these systems, the computer suggests portions of target sentence that can be accepted or amended by a human translator. In the present work we will introduce speech as a novel way to interact with these systems. The rational behind this approach is to increase the throughout and ergonomy. Different scenarios for this kind of speech interactions will be discussed along with some preliminary results.
منابع مشابه
Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
متن کاملTeaching approaches to Computer Assisted Language Learning
Computers have been used for language teaching ever since the 1960's.Learning a second language is a challenging endeavor, and, for decades now, proponents of computer assisted language learning (CALL) have declared that help is on the horison. We investigate the suitability of deploying speech technology in computer based systems that can be used to teach foreign language skills. In this case,...
متن کاملAn Information-Theoretic Discussion of Convolutional Bottleneck Features for Robust Speech Recognition
Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...
متن کاملSpeech Emotion Recognition Based on Power Normalized Cepstral Coefficients in Noisy Conditions
Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years. This paper considers the recognition of emotional states via speech in real environments. For this task, we employ the power normalized cepstral coefficients (PNCC) in a speech emotion recognition system. We investigate its perfor...
متن کاملAutomatic text dictation in computer-assisted translation
In this paper, we study the incorporation of statistical machine translation models to automatic speech recognition models in the framework of computer-assisted translation. The system is given a source language text to be translated and it shows the source text to the human translator to translate it orally. The system captures the user speech which is the dictation of the target language sent...
متن کامل