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ICML
2009
IEEE
15 years 10 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
PROPOR
2010
Springer
278views Languages» more  PROPOR 2010»
15 years 4 months ago
Translating from Complex to Simplified Sentences
We address the problem of simplifying Portuguese texts at the sentence level treating it as a "translation task". We use the Statistical Machine Translation (SMT) framewo...
Lucia Specia
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Enhanced Infrastructure for Creation and Collection of Translation Resources
Statistical Machine Translation (MT) systems have achieved impressive results in recent years, due in large part to the increasing availability of parallel text for system trainin...
Zhiyi Song, Stephanie Strassel, Gary Krug, Kazuaki...
LREC
2008
104views Education» more  LREC 2008»
14 years 11 months ago
CzEng 0.7: Parallel Corpus with Community-Supplied Translations
This paper describes CzEng 0.7, a new release of Czech-English parallel corpus freely available for research and educational purposes. We provide basic statistics of the corpus an...
Ondrej Bojar, Miroslav Janícek, Zdenek Zabo...
FINTAL
2006
15 years 1 months ago
Improving Statistical Word Alignments with Morpho-syntactic Transformations
Abstract. This paper presents a wide range of statistical word alignment experiments incorporating morphosyntactic information. By means of parallel corpus transformations accordin...
Adrià de Gispert, Deepa Gupta, Maja Popovic...