We propose in this work a rule-based machine translation system between ArSL and Arabic. The proposed system performs morphological and syntactic analysis to translate the ArSL sentence lexically and syntactically into Arabic. To evaluate this work, we perform manual and automatic evaluation using a...
Neural machine translation is the use of deep neural networks for the problem of machine translation. In this tutorial, you will discover how to develop a neural machine translation system for translating German phrases to English. After completing this tutorial, you will know: How to clean and ...
atica, ApertiumThis work examines various ways to re-use pre-existing linguistic data to quickly generate a machine translation system for a new language pair. In parti- cular, a machine translation system between Portuguese and Catalan based on the Apertium platform (www.apertium.org) has been...
In a machine translation system, a default translation flag for indicating a default equivalent word is set in a dictionary in a memory. A normal equivalent-word selector of a translation module executes semantic analysis on a case structure tree determined by a dictionary- lookup morpheme analyzin...
We present a machine learning approach to evaluating the well-formedness of output of a machine translation system, using classifiers that learn to distinguish human reference translations from machine translations. This approach can be used to evaluate an MT system, trac...
Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine translation system has significantly increased international trade on this platform, increasing exports by 17.5%. Furthermore, heterogeneous treatment effects are all ...
For most ordinary purposes, machine translation (MT) has got a lot better in the past years. The biggest source of improvement has been the adoption of “deep learning” in training translating systems. But improvement has also come about through the expansion of clever companies solving individua...
1 Machine translation is a technology that ___ translates text from one language to another.( )A. freelyB. casuallyC. temporarilyD. automatically 2Machine translation is a technology that ___ translates text from one language to another.( )A. freelyB. casuallyC. temporarilyD. automatically...
Zero -- A neural machine translation system. Contribute to bzhangGo/zero development by creating an account on GitHub.
1b), the encoder-decoder attention learns the relationship between elements in the deep representation of the input sentence and elements in the translation (Fig. 1c). In particular, our system utilizes the so-called multi-head attention, where several independent attention functions are trained ...