Machine translation and fair access to information
نویسندگان
چکیده
منابع مشابه
construction and validation of translation metacognitive strategy questionnaire and its application to translation quality
like any other learning activity, translation is a problem solving activity which involves executing parallel cognitive processes. the ability to think about these higher processes, plan, organize, monitor and evaluate the most influential executive cognitive processes is what flavell (1975) called “metacognition” which encompasses raising awareness of mental processes as well as using effectiv...
Information-Based Machine Translation
This paper describes an approach to Machine Translation that places linguistic information at its foundation. The difficulty of translation from English to Japanese is illustrated with data that shows the influence of various linguistic contextual factors. Next, a method for natural language transfer is presented that integrates translation examples (represented as typed feature structures with...
متن کاملUsing Machine Learning to Improve Information Access
The explosion of on-line information has given rise to many query-based search engines (such as Alta Vista) and manually constructed topic hierarchies (such as Yahoo! ). But with the current growth rate in the amount of information, query results grow incomprehensibly large and manual classi cation in topic hierarchies creates an immense information bottleneck. Therefore, these tools are rapidl...
متن کاملApplications of Machine Learning to Information Access
The recent explosion of on-line information has given rise to a number of query-based search engines (e.g., Alta Vista) and manually constructed topic hierarchies (e.g., Yuhoo!). But with the current rate of growth in the amount of available information, query results grow incomprehensibly large and manual classification in topic hierarchies creates an immense information bottleneck. Therefore,...
متن کاملPrivate Access to Phrase Tables for Statistical Machine Translation
Some Statistical Machine Translation systems never see the light because the owner of the appropriate training data cannot release them, and the potential user of the system cannot disclose what should be translated. We propose a simple and practical encryption-based method addressing this barrier.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Translation Spaces
سال: 2020
ISSN: 2211-3711,2211-372X
DOI: 10.1075/ts.00025.nur