Difference between revisions of "User:Gang Chen/GSoC 2013 Application: "Sliding Window PoS Tagger""
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== Name == |
== Name == |
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'''Name:''' Gang Chen |
'''Name:''' Gang Chen |
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== Contact Information == |
== Contact Information == |
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'''Email:''' pkuchengang@gmail.com |
'''Email:''' pkuchengang@gmail.com |
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| − | '''IRC:''' Gang |
+ | '''IRC:''' Gang |
'''GitHub Repo:''' https://github.com/elephantgcc |
'''GitHub Repo:''' https://github.com/elephantgcc |
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| + | == Why is it you are interested in machine translation? == |
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| + | I am majored in Natural Language Processing, and after taking a course on Machine Translation, I became intrested in it. It sits in the center of many NLP techniques, and has a very promising application in real life. |
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| + | 2 years ago, I started to intern in a statistical machine translation team of an Internet company. Since then, I began to be in deeper touch with the classic IBM models, the n-gram language models, various decoding algorithms, and many excellent open source toolkits. I was greatly attracted by the ideas and applications of machine translation. Reading the papers and making the toolkits to work properly brought me so much fun, that I still remember the sleepless night thinking about the nerual network language model. |
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| + | A language is such a complicated system, that translating a sentence from one language to another has always been a challenging task. On the other hand, with the translation need drastically growing, developing better machine translation systems can also benifit the society. |
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Revision as of 08:17, 26 April 2013
Name
Name: Gang Chen
Contact Information
Email: pkuchengang@gmail.com
IRC: Gang
GitHub Repo: https://github.com/elephantgcc
Why is it you are interested in machine translation?
I am majored in Natural Language Processing, and after taking a course on Machine Translation, I became intrested in it. It sits in the center of many NLP techniques, and has a very promising application in real life.
2 years ago, I started to intern in a statistical machine translation team of an Internet company. Since then, I began to be in deeper touch with the classic IBM models, the n-gram language models, various decoding algorithms, and many excellent open source toolkits. I was greatly attracted by the ideas and applications of machine translation. Reading the papers and making the toolkits to work properly brought me so much fun, that I still remember the sleepless night thinking about the nerual network language model.
A language is such a complicated system, that translating a sentence from one language to another has always been a challenging task. On the other hand, with the translation need drastically growing, developing better machine translation systems can also benifit the society.
