WebLicht Easy Chain for POS Tagging and Lemmatization (Italian). The pipeline makes use of WebLicht's TCF converter, the IMS tokenizer, and the POS Tagger from the OpenNLP project. The model for Italian is trained on a relatively small training corpus (MIDT) and should therefore be considered experimental. WebLicht's Tundra can be used to visualize the result.
WebLicht Easy Chain for POS Tagging and Lemmatization (English). The pipeline makes use of WebLicht's TCF converter, the Stanford tokenizer, the Jitar POS Tagger, and the lemmatizer service from MorphAdorner. WebLicht's Tundra can be used to visualize the result.
WebLicht Easy Chain for POS Tagging and Lemmatization (German). The pipeline makes use of WebLicht's TCF converter, the IMS tokenizer, and the IMS TreeTagger. WebLicht's Tundra can be used to visualize the result.
WebLicht Easy Chain for POS Tagging and Lemmatization (French). The pipeline makes use of WebLicht's TCF converter, the IMS tokenizer, and the IMS TreeTagger. WebLicht's Tundra can be used to visualize the result.
Set of tools used in natural language processing to assign labels or tags to text elements such as words or tokens. Postagger works at the stage after the text has been analyzed by a morphological or syntactic tagger and is intended to make the final classification and assign appropriate labels to individual text elements.