Download Tilde`s wrapper system for CollTerm
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Contract no. 248347 2.5.7 Integration with external tools GIZA++ is the only external tool that needs to be available to PEXACC (see the “System requirements” section). GIZA++ is configured by a file called “pdataextract-gizapp.gizacfg” which is distributed along with PEXACC. It is a standard GIZA++ configuration file minus the dynamic information (“.snt” and “.vcb” files) supplied by PEXACC at run time. It needs not be erased between runs. 2.5.8 Contact For further information and technical support installing and/or running this tool, please email to Radu Ion: [email protected]. 2.5.9 Useful references Official Ubuntu Documentation (if installation is done on Ubuntu): https://help.ubuntu.com/ Comprehensive Perl Archive Network: http://www.cpan.org/ Open SSL: http://www.openssl.org/ D2.2 ACCURAT Deliverable: “Report on multi-level alignment of comparable corpora” which documents the PEXACC algorithm. GIZA++ documentation: Franz Josef Och, Hermann Ney. "Improved Statistical Alignment Models". Proc. of the 38th Annual Meeting of the Association for Computational Linguistics, pp. 440-447, Hong Kong, China, October 2000. 2.6 A ME parallel sentence extractor tool 2.6.1 Overview and purpose of the tool This tool is built to extract parallel sentences or phrases from comparable corpus. A maximal entropy method (Munteanu and Marcu 2005) was applied to classify each potential aligned sentence/phrase pair as parallel or non-parallel. User could extract their own parallel data with any language pair. In addition, users are able to train their own maximal entropy (ME) model by providing numbers of samples. 2.6.2 Changes from previous version The updated version of the ME parallel sentence extractor allows users to train their own models and contains an updated feature set. As the updated version contains new use cases, the execution sequences from the last version won’t work in the new version. Users must take this change into account when updating to the new version. D2.6 V3.0 Page 66 of 164