Stanford Tagger

swMATH ID: 7978
Software Authors: Kristina Toutanova
Description: A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like ’noun-plural’. This software is a Java implementation of the log-linear part-of-speech taggers described in these papers (if citing just one paper, cite the 2003 one): Kristina Toutanova and Christopher D. Manning. 2000. Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000), pp. 63-70. Kristina Toutanova, Dan Klein, Christopher Manning, and Yoram Singer. 2003. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In Proceedings of HLT-NAACL 2003, pp. 252-259. The tagger was originally written by Kristina Toutanova. Since that time, Dan Klein, Christopher Manning, William Morgan, Anna Rafferty, Michel Galley, and John Bauer have improved its speed, performance, usability, and support for other languages.
Homepage: http://nlp.stanford.edu/downloads/tagger.shtml
Related Software: WordNet; word2vec; TnT; TreeTagger; BLEU; Penn Treebank; SVMTool; StanfordCoreNLP; Tensor2Tensor; SBERT; SpanBERT; BERT; Ollie; GloVe; Adam; TensorFlow; t-SNE; DeepWalk; metapath2vec; GraRep
Cited in: 18 Publications

Citations by Year