CICLING
2009
Springer
14 years 6 months ago
2009
Springer
We use existing tools to automatically build two parallel treebanks from existing parallel corpora. We then show that combining the data extracted from both the treebanks and the ...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilin...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
Recent work on the transfer of semantic information across languages has been recently applied to the development of resources annotated with Frame information for different non-En...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
This paper presents a system that uses the domain name of a German business website to locate its information pages (e.g. company profile, contact page, imprint) and then identifi...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. Automatic plagiarism detection considering a reference corpus compares a suspicious text to a set of original documents in order to relate the plagiarised fragments to th...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
A desirable property for any system dealing with unrestricted natural language text is robustness, the ability to analyze any input regardless of its grammaticality. In this paper ...
CICLING
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. Language software applications encounter new words, e.g., acronyms, technical terminology, names or compounds of such words. In order to add new words to a lexicon, we ne...