Stanford NLP Group Tackles Arabic Machine Translation
February 3, 2014
Machine translation can be a wonderful thing, but one key language has garnered less consideration than other widely-used languages. Though both Google and Babylon have made good progress [pdf] on Arabic translation, folks at The Stanford Natural Language Processing Group know there is plenty of room for improvement. These scientists are working close that gap with their Arabic Natural Language Processing project.
The page’s overview tells us:
“Arabic is the largest member of the Semitic language family and is spoken by nearly 500 million people worldwide. It is one of the six official UN languages. Despite its cultural, religious, and political significance, Arabic has received comparatively little attention by modern computational linguistics. We are remedying this oversight by developing tools and techniques that deliver state-of-the-art performance in a variety of language processing tasks. Machine translation is our most active area of research, but we have also worked on statistical parsing and part-of-speech tagging. This page provides links to our freely available software along with a list of relevant publications.”
The page holds a collection of useful links. There are software links, beginning with their statistical Stanford Arabic Parser. There are also links to eight papers, in pdf form, that either directly discuss Arabic or use it as an experimental subject. Anyone interested in machine translation may want to bookmark this helpful resource.
Cynthia Murrell, February 03, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
Comments
-
- Subscribe to Beyond Search
Feature archive
News archive
-
