stts

SttS, commonly written as stts, stands for Stuttgart–Tübingen Tag Set. It is a German language part-of-speech and morphological tagging scheme used in computational linguistics and corpus linguistics. Developed by researchers at the University of Stuttgart and the University of Tübingen, stts provides a standardized set of tags to annotate German text with grammatical category information.

The tag set is tailored to reflect German syntax and morphology and is designed to be expressive yet compact. It covers a range of word classes, including nouns, proper nouns, pronouns, verbs, adjectives, adverbs, determiners, prepositions, conjunctions, numerals, and punctuation. In addition to coarse-grained POS labels, stts commonly encodes morpho-syntactic information such as number, case, gender, tense, aspect, mood, and voice where relevant. The tagging scheme is used to annotate large German corpora, enabling consistent linguistic analysis and subsequent NLP tasks.

Historically, stts gained prominence through its use in the TIGER German treebank and has since influenced German-language tagging work. It is often employed with automatic taggers like TreeTagger and integrated into pipelines for parsing and training statistical models. For interoperability, stts-tagged data are sometimes mapped to other annotation schemes, including universal dependencies, to facilitate cross-corpus comparison and multilingual research.

In summary, the Stuttgart–Tübingen Tag Set (stts) is a foundational German POS and morphology tagging framework that supports detailed linguistic annotation and has been widely used in academic and computational linguistics communities. See also: German POS tagging, TIGER corpus, TreeTagger, universal dependencies.