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🏷️ ADJ: adjective

Universal Dependencies · 7 key papers · all concepts

Part of: 🗨️ Natural language processing · 🌐 Universal Dependencies

ADJ (adjective) is the Universal Dependencies part-of-speech tag for words that typically modify nouns and name a property or quality of what the noun refers to, such as *red*, *old* or *Swedish*. It covers adjectives used both attributively and predicatively.

Also: adjective, UPOS ADJ, adjectival word

What it is

In Part-of-speech tagging, ADJ is one of the universal tags of Universal Dependencies. The guidelines define the adjective by function. It is a word that typically modifies a noun or noun phrase by stating an attribute. It can also serve as the predicate of a copular clause. The tag is assigned in context, so the same written form may be ADJ in one sentence and another category in the next.

The tag goes back to the twelve-category universal tagset of Petrov, Das and McDonald. That set included ADJ next to NOUN, VERB, ADV and others, and its categories were fixed pragmatically from existing annotation guidelines (Petrov et al. 2012). One of their decisions was to map Korean stative verbs to adjectives (Petrov et al. 2012). UD v1 enlarged this inventory to 17 tags and kept ADJ (Nivre et al. 2016). The list remained closed at 17 in UD v2 (Nivre et al. 2020).

Borderline cases

Examples

These attachments follow UD's design. Content words are heads, function words such as copulas depend on them, and modifier labels like amod encode the type of the dependent (Marneffe et al. 2021).

Across languages

Adjectives differ widely in how much morphology they carry. The FEATS commonly found on ADJ are listed below.

FeatureTypical valuesWhere it matters
DegreePos, Cmp, SupEnglish taller, tallest
Gender, Number, Caseagreement valuesFrench, German, Slavic
DefinitenessDef, IndScandinavian, Arabic
NumType, VerbFormOrd; Partordinals, participles

These features descend from Interset. Zeman built it as a universal inventory of morphosyntactic features and values, used as an interlingua between tagsets (Zeman 2008). In some languages, property words behave like verbs. Korean is the classic case, and the decision to treat its stative verbs as adjectives shows that the category boundary is a choice of annotation policy (Petrov et al. 2012).

In treebanks and research

In the English and French treebanks, adjectives most often attach as amod, by a wide margin. The next most common relations are root (predicative use), conj and xcomp. English adds ccomp among its frequent relations, while French adds advcl. The predicative pattern is more prominent in English than in French, where post-nominal modification is pervasive.

For dependency parsing, coarse tags such as ADJ cost little. An English parser using the 12 universal tags instead of the 45 Penn Treebank tags lost only about 0.6% accuracy (Petrov et al. 2012).

The fuzzy ADJ boundaries make the tag a frequent source of disagreement between treebanks. Consistency of UD annotation has been studied directly (Marneffe et al. 2017). One proposal compares UPOS trigram distributions between two treebanks A and B (Aggarwal & Zeman 2020):

θpos(A, B) = KLcpos3(A, B) + KLcpos3(B, A)

In this formula, KLcpos3 is an asymmetric Kullback–Leibler divergence over trigrams of universal POS tags. Summing both directions gives a symmetric score θpos. For treebanks of the same genre, a score at or below 0.5 counts as consistent (Aggarwal & Zeman 2020). Because the measure works on tag sequences, a treebank that labels participles or ordinals differently will show up in such comparisons.

UD's tools and principles, including the handling of ADJ, are summarised in tutorial form by Zeman (Zeman 2021).

How often the tag ADJ 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 ADJ occurs: its share of all tokensEnglish treebanks: 5.44% of tokens (61,322 tokens)English treebanks5.44% of tokens (61,322 tokens)French treebanks: 4.61% of tokens (50,280 tokens)French treebanks4.61% of tokens (50,280 tokens)
The numbers
TreebanksShare
English treebanks5.44% of tokens (61,322 tokens)
French treebanks4.61% of tokens (50,280 tokens)

The relations ADJ words take most often

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

The relations ADJ words take most oftenEnglish: amod: 41,495English: amod41,495English: root: 6,879English: root6,879English: conj: 3,061English: conj3,061English: xcomp: 2,457English: xcomp2,457English: ccomp: 996English: ccomp996French: amod: 39,339French: amod39,339French: root: 3,322French: root3,322French: conj: 2,779French: conj2,779French: xcomp: 1,048French: xcomp1,048French: advcl: 714French: advcl714
The numbers
PairTokens
English: amod41,495
English: root6,879
English: conj3,061
English: xcomp2,457
English: ccomp996
French: amod39,339
French: root3,322
French: conj2,779
French: xcomp1,048
French: advcl714

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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