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🏷️ DET: determiner

Universal Dependencies · 7 key papers · all concepts

Part of: 🗨️ Natural language processing · 🌐 Universal Dependencies

DET (determiner) is the Universal Dependencies part-of-speech tag for words that modify a noun or noun phrase and fix its reference in context: articles, demonstratives, quantifiers and, in many languages, possessive and interrogative words that accompany a noun.

Also: determiner, UPOS DET, det (its usual relation), article, quantifier

What it is

In Universal Dependencies, every word gets one tag from a closed inventory of seventeen universal parts of speech (Nivre et al. 2020). DET is the tag for words that sit next to a noun and tell the hearer which or how many referents are meant. They do not add descriptive content. The word the in the cat does not describe the cat. It signals that the speaker expects the listener to identify it.

The tag goes back to the twelve-category universal tagset of Petrov, Das and McDonald. That set already had DET beside NOUN, PRON, ADJ and NUM, and it was built by mapping many treebank-specific tagsets onto shared categories (Petrov et al. 2012). UD v1 extended that set to seventeen tags and kept DET unchanged (Nivre et al. 2016).

UD treats determiners as function words. They depend on the content word they modify, which here is the noun (Marneffe et al. 2021). Their typical relation is det. Some treebanks use subtypes such as det:poss or det:predet, since languages may refine universal relations but not invent new basic ones (Nivre et al. 2020).

Borderline cases

ContrastTypical decision
DET vs PRONA word inside a noun phrase that modifies the noun is DET (this book). A form standing alone as an argument is often PRON (I like this), but practice varies by treebank.
DET vs NUMCardinal numbers are NUM with nummod. Quantifiers like many, some and every are DET.
DET vs ADJWords with descriptive content or full adjectival behaviour (other, such in some treebanks) may be ADJ.
PossessivesEnglish my and your are tagged PRON with Poss=Yes in the main treebanks. Many languages tag possessives as DET.

Features

Determiners usually carry PronType, which says which kind they are: Art (article), Dem (demonstrative), Ind, Tot, Neg, Int or Rel. Articles also carry Definite (Def or Ind). Determiners in inflecting languages agree with their noun in Number, Gender and Case. Possessives carry Poss, Person and sometimes the possessor's number. This feature inventory descends from Interset, a universal set of morphosyntactic features designed as an interlingua between tagsets (Zeman 2008).

Examples

Across languages

Languages differ in how much they grammaticalize reference. English and the Romance languages have obligatory articles. Many Slavic languages have none, so their DET words are mostly demonstratives, quantifiers and possessives. Some languages mark definiteness with a suffix rather than a separate word, as Swedish huset ('the house') does. In such languages definiteness shows up as a feature on the NOUN and not as a DET token. UD splits contracted forms and clitics into syntactic words while keeping the original tokens recoverable (Nivre et al. 2016). French du ('of the') and similar fused forms therefore yield a DET token of their own.

In treebanks and research

In current UD releases, determiners make up a noticeably larger share of tokens in French than in English. This reflects the obligatory article of French, which appears even before plural and mass nouns.

In both languages the relation det overwhelmingly dominates. The secondary relations show how the languages differ. In English, a DET word that stands alone as a phrase most often takes nmod, then obj and nsubj, as in both or each used on their own, with some discourse uses as well. In French, the next most common relations are fixed, for determiners frozen inside multiword expressions, then advmod and reparandum, the latter for self-corrections in spoken data.

Because determiners are frequent and short, the DET versus PRON decision has a measurable effect on cross-treebank agreement. Work on annotation consistency in UD examines exactly such tag disagreements (Marneffe et al. 2017). One proposal compares UPOS trigram distributions across treebanks of the same language with a symmetric divergence score, so that it does not rely on a trained tagger (Aggarwal & Zeman 2020).

For part-of-speech tagging and dependency parsing, the coarse DET class is part of why parsers can be transferred across languages. A delexicalized English parser using the universal tags transferred directly to other languages better than the unsupervised methods of its time (Petrov et al. 2012). Introductory accounts of UD's principles and tooling cover these tag choices for annotators (Zeman 2021).

How often the tag DET occurs: its share of all tokens

Counted by code over the Universal Dependencies 2.18 treebanks of English and French (every token once, subtypes with their base relation).

How often the tag DET occurs: its share of all tokensEnglish treebanks: 7.91% of tokens (89,135 tokens)English treebanks7.91% of tokens (89,135 tokens)French treebanks: 12.80% of tokens (139,556 tokens)French treebanks12.80% of tokens (139,556 tokens)
The numbers
TreebanksShare
English treebanks7.91% of tokens (89,135 tokens)
French treebanks12.80% of tokens (139,556 tokens)

The relations DET words take most often

The five most frequent in each language's treebanks, by tokens.

The relations DET words take most oftenEnglish: det: 85,373English: det85,373English: nmod: 848English: nmod848English: obj: 612English: obj612English: nsubj: 556English: nsubj556English: discourse: 369English: discourse369French: det: 138,049French: det138,049French: fixed: 532French: fixed532French: advmod: 353French: advmod353French: reparandum: 329French: reparandum329French: obj: 74French: obj74
The numbers
PairTokens
English: det85,373
English: nmod848
English: obj612
English: nsubj556
English: discourse369
French: det138,049
French: fixed532
French: advmod353
French: reparandum329
French: obj74

Key papers

The works this page cites, the most cited first; citations as counted by OpenAlex plus the papers of this library that cite the work, read 2026-10-24.

More papers

Topics: 🔤 Part-of-speech tagging · 🌐 Universal Dependencies

Shelves: 🗣️ Language and Linguistics

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