PANACEA It-De Sample Clauses

PANACEA It-De. Glossary From the evaluated data (both v1 and v2), the „good‟ entries were merged, duplicates were removed, and a POS-annotated, human-validated term list was produced. It contains about 6700 entries. 5 it should be noted, however, that in tests, Italian-English had already the highest error rate (14.4%), which is close to the figure above. 6 The high rate of P2G errors in the single word evaluation comes mainly from capitalisation errors in Italian (incorrect lemma of proper names like Assisi etc.) 7 References • Bel, N., Xxxxxxxxxxxx, V., Xxxxxxxxxx, P., Xxxxx, A., Xxxxxx, V., 2012: Mining and Exploiting Domain-Specific Corpora in the PANACEA Platform. Proc. 5th BUCC Workshop at LREC 2012, Istanbul • Xxxxxxxx, M., Xxxxxxxx, N., Xxxxxxx, M., 2011: IRST Language Modeling Toolkit. FBK-irst, Trento • Xxxxx, P., Xxxxx, X., Xxxxx, X., Xxxxxxxx-Xxxxx, C., Xxxxxxxx, M., Xxxxxxxx, N., Xxxxx, B., Xxxx, X., Xxxxx, C., Xxxx, R., Xxxx, C., Xxxxx, O., Xxxxxxxxxx, A., and Xxxxxx, E.2007: Xxxxx: Open Source Toolkit for Statistical Machine Translation. Proc. ACL, Prague • Kohlschütter, Chr., et al., 2010: Boilerplate Detection using Shallow Text Features". Proc. WSDM 2010 • Xxx, F.J., 2003: Minimum Error Rate Training in Statistical Machine Translation. Proc. 41 ACL • Xxxxxx, P., Xxxxx, X., xxx Xxxxxxxx, X., 2012: Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation. Proc. COLING Mumbai • Xxxxxxxx, Xx., Xxxxxxx, V., 2012: Creating Term and Lexicon Entries from Phrase Tables. Proc. EAMT Trento 8 Annex: Crawler Data