I am working on the part-of-speech-tagging of the German political speeches corpus, and I would like to get tags from two different kinds of POS-taggers :

• on one hand the TreeTagger, a hidden Markov model tagger which uses statistical rules and decision trees,
• on the other the Stanford POS-Tagger, a bidirectional maximum entropy tagger.

This is easier said than done.

I am using the 2011-05-18 version of the Stanford Tagger with its standard models for German (I don’t know if any of the problems I encountered would be different with a newer or still-to-come version) and the basic …

I have (say, I crawled two websites and got hold of) two corpora which sometimes focus on the same topics. I would like to try and melt them together in order to build a balanced and coherent corpus. As this is a highly discussed research topic there are plenty of subtle ways to do it.

Still, as I am only at the beginning of my research and as I don’t know how far I am going to go with both corpora I want to keep it simple.

One of the appropriate techniques (if not the best)

I could do …

I would like to build a corpus from a variety of scientific papers of a given field in a given language (german).

The problems of crawling put aside, I wonder if there is a way to do this automatically. All the papers I read deal with hand-collected corpora.

The Open Archive format might be a good workaround (see The Open Archives Initiative Protocol for Metadata Harvesting). As far as I know it is well-spread. And there are search engines that look for academic papers and use these metadata.

Among the most popular ones (Google Scholar, Scirus, OAIster), a few seem …