Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

18

ACL
2012

favoriteEmaildiscussreport

163views Computational Linguistics» more ACL 2012»

Private Access to Phrase Tables for Statistical Machine Translation

11 years 7 months ago

Private Access to Phrase Tables for Statistical Machine Translation

Download aclweb.org

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.

Nicola Cancedda

Real-time Traffic

ACL 2012 | Computational Linguistics | Machine Translation Systems | Statistical Machine Translation |

claim paper

Related Content

» PhraseBased Statistical Machine Translation A Level of Detail Approach

» A Comparison of Pivot Methods for PhraseBased Statistical Machine Translation

» Reducing SMT Rule Table with Monolingual Key Phrase

» Improving Statistical Machine Translation with Monolingual Collocation

» Assessing PhraseBased Translation Models with Oracle Decoding

» A PhraseBased Statistical Model for SMS Text Normalization

» Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective

» Toward Smaller Faster and Better Hierarchical Phrasebased SMT

» Syntactically Lexicalized PhraseBased SMT

Post Info
More Details (n/a)

Added	29 Sep 2012
Updated	29 Sep 2012
Type	Journal
Year	2012
Where	ACL
Authors	Nicola Cancedda

Comments (0)