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@raduion
Bandeira de Romania Bucharest, Romania
Membro desde 21 de janeiro de 2007
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raduion

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I am a Natural Language Processing (NLP) specialist. I hold a PhD degree in this field of Artificial Intelligence (thesis subject: "Word Sense Disambiguation"). I am a good Perl programmer and I also can write C/C++/C# or Java code. I put a lot of emphasis on algorithms and their space and time requirements and I prefer to code stand-alone applications. I am a theory oriented kind of guy and not a specific technology adept (in principle I can write code in any language as long as the documentation is available).
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Portfólio

Comentários recentes

  • imagem de slipp Project for raduion $65.00 USD

    “Excellent job once again.”

  • imagem de slipp Thesaurus Tool $250.00 USD

    “Radu is an excellent programmer. His coding is lean and clean. During the project he came up with his own ideas to make the tool even better than I imagined in the first place. Excellent communication, reliable and straightforward.”

  • imagem de comfortfeet Parse and write file scrape [Sealed]

    “This guy is very good, he communicates well, and his Perl coding isvery good. He asks clear questions and delivers fast.”

Experiência

Senior Researcher

Aug 2001

I am a Natural Language Processing researcher. I currently work on/with: - machine translation (e.g. Moses) - part-of-speech tagging (e.g. HMMs, neural nets) - lemmatization/stemming - word sense disambiguation - parsing (syntactic analysis, dependency parsing) - question answering - word alignment - automatic bilingual dictionary extraction from parallel or comparable corpora Full resume can be found here: [login to view URL]~radu/

Junior C++ Programmer

Jan 2001 - Mar 2001 (2 months)

C++ programming in the company's COSWIN application.

Educação

Bachelor of Engineering in Computer Science

1996 - 2001 (5 years)

Graduate Studies in Computer Science

2001 - 2002 (1 year)

Master in Theoretical Lingustics

2002 - 2003 (1 year)

PhD in Computer Science/Natural Language Processing

2003 - 2007 (4 years)

Publicações

Wikipedia as an SMT Training Corpus

We have mined for parallel sentences in the Wikipedia seen as a comparable corpora. We have tested the quality of the corpus by doing SMT with Moses trained on the extracted data.

The Romanian wordnet in a nutshell

This is an account of the current development activities of the Romanian semantic network, aligned to Princeton WordNet.

Large tagset labeling using Feed Forward Neural Networks. Case study on Romanian Language

High accuracy POS tagging with neural nets, using a large tagset named Morpho-Syntactic Descriptors.

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