---
title: "acl: clausal modifier of noun — definition and key papers"
description: "acl (clausal modifier of noun) is the Universal Dependencies relation that attaches a clause to the nominal it modifies."
canonical: "https://research.elamur.ai/free/en/concepts/ud-acl/"
---
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# 🌐 acl: clausal modifier of noun

Universal Dependencies · 6 key papers · [all concepts](https://md.research.elamur.ai/free/en/concepts/)

Part of: [🗨️ Natural language processing](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) · [🌐 Universal Dependencies](https://md.research.elamur.ai/free/en/concepts/universal-dependencies/)

acl (clausal modifier of noun) is the Universal Dependencies relation that attaches a clause to the nominal it modifies. Examples are relative clauses, participial and infinitival clauses, and content clauses after nouns such as "fact".

Also: clausal modifier of noun, adnominal clause, acl:relcl (relative clause subtype)

## What it is

In [Universal Dependencies](https://md.research.elamur.ai/free/en/concepts/universal-dependencies/) (UD), every dependent of a nominal is labelled by the kind of phrase it is. A nominal dependent is nmod, an adjectival one is amod, and a clausal one is acl. The label therefore records the phrase type, so no separate constituent annotation is needed ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)). This follows from UD's three basic units. Nominals denote entities, clauses denote events, and modifiers specify either of them ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)).

The relation joins two words:

- The head is a noun, proper noun or pronoun.
- The dependent is the head of the modifying clause. This is usually its verb, or the predicate word if the clause has a copula.

Function words such as relativizers, subordinators and infinitive markers attach inside the clause. They are not the head of the acl link, because UD treats content words as heads ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)).

### Neighbouring relations

UD consistently separates phrasal dependents from clausal ones, as in the pairs nsubj/csubj and advmod/advcl ([Nivre et al. 2016](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)). acl is the clausal partner of nmod and amod. It differs from these neighbours as follows:

- advcl: the clause modifies a predicate, not a noun.
- ccomp and xcomp: the clause is a complement of a verb or an adjective.
- amod: the modifier is a single adjectival word rather than a clause.

Languages may refine universal relations with subtypes, but they may not add new basic categories ([Nivre et al. 2020](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/)). The most widespread subtype is acl:relcl for relative clauses. Some treebanks also use acl:cleft for the clause of a cleft sentence.

## Examples

1. The book that she wrote sold well. Here acl:relcl joins book (head) to wrote (dependent), and "that" depends on wrote.
2. A man carrying a ladder knocked. Here acl joins man to carrying, a participial clause with no relative word.
3. Her decision to resign surprised us. Here acl joins decision to resign, an infinitival clause, and "to" attaches as a marker.

A content clause such as "the claim that prices rose" also takes plain acl (claim → rose). The clause states what the claim is, rather than restricting which claim is meant.

## Across languages

Because the label is universal, the same construction can be compared across typologically different languages ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)). Languages differ in which clause types carry most of the load.

In the [English](https://md.research.elamur.ai/free/en/topics/english/) and [French](https://md.research.elamur.ai/free/en/topics/french/) UD treebanks, the dominant pattern is a noun head with a verb dependent. A pronoun head with a verb dependent comes second in both languages. English shows more noun-to-adjective cases than proper-noun heads, while French has the reverse order. French uses the relation for a larger share of its tokens than English does. Plausible causes are its productive participial modifiers and infinitival constructions with "à" or "de", as in "une maison à vendre" ('a house for sale').

Languages with prenominal clauses, such as Japanese and Korean, often keep plain acl. Their noun-modifying clauses do not mark a clear contrast between relative and content clauses, so acl:relcl would impose a distinction the grammar does not draw. The underlying question of which strategies realize which constructions across languages is a current topic in UD theory (Nivre 2025). The same holds for clauses with unusual predicates (Nivre et al. 2026). Work on argument structure bears on how a relativized noun's role is recovered (Zeman 2017).

## In treebanks and research

The acl relation goes back to the cross-linguistic version of Stanford dependencies ([Marneffe et al. 2014](https://md.research.elamur.ai/free/en/papers/marneffe-2014-universal-stanford-dependencies-cross-linguistic/)). It was part of the first UD release, whose inventory had 40 dependency types ([Nivre et al. 2016](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)). Under the v2 guidelines it is one of 37 universal relations ([Nivre et al. 2020](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/)).

### Enhanced representation

A basic tree cannot show that the head noun of a relative clause is also an argument inside that clause. The enhanced representation is a graph that adds such implicit relations ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)). For English it was specified in detail and released with converters in Stanford CoreNLP ([Schuster & Manning 2016](https://md.research.elamur.ai/free/en/papers/schuster-2016-enhanced-english-universal-dependencies-improved/)). That work served applications that need direct links between content words, such as relation extraction ([Schuster & Manning 2016](https://md.research.elamur.ai/free/en/papers/schuster-2016-enhanced-english-universal-dependencies-improved/)).

### Parsing

In [dependency parsing](https://md.research.elamur.ai/free/en/concepts/dependency-parsing/), acl is evaluated like any other label. It is one of the relations tested in the 2017 and 2018 CoNLL shared tasks on parsing raw text ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)). Errors tend to come from three sources:

- the attachment site, when a clause could modify either a noun or the verb;
- confusion with advcl;
- uneven use of subtypes across treebanks.

Uneven annotation of this kind is the subject of studies of [treebank](https://md.research.elamur.ai/free/en/topics/treebanks/) consistency in UD ([Marneffe et al. 2017](https://md.research.elamur.ai/free/en/papers/marneffe-2017-assessing-annotation-consistency-universal-dependencies/)). Tutorials on UD principles and tools cover how such clauses should be analysed (Zeman 2021).

How often the relation acl 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).

**The numbers**

| Treebanks | Share |
| --- | --- |
| English treebanks | 1.43% of tokens (16,121 tokens) |
| French treebanks | 2.14% of tokens (23,298 tokens) |

What acl joins: the most frequent head tag → dependent tag The five most frequent in each language's treebanks, by tokens.

**The numbers**

| Pair | Tokens |
| --- | --- |
| English: NOUN → VERB | 11,890 |
| English: PRON → VERB | 1,431 |
| English: NOUN → ADJ | 538 |
| English: PROPN → VERB | 526 |
| English: NOUN → NOUN | 349 |
| French: NOUN → VERB | 16,944 |
| French: PRON → VERB | 2,927 |
| French: PROPN → VERB | 1,405 |
| French: NOUN → ADJ | 453 |
| French: NOUN → NOUN | 335 |

## 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.

- [Universal Dependencies v1: A Multilingual Treebank Collection](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/) — Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter et al. · 2016 · 1,741 citations
- [Universal Stanford dependencies: A cross-linguistic typology](https://md.research.elamur.ai/free/en/papers/marneffe-2014-universal-stanford-dependencies-cross-linguistic/) — Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira et al. · 2014 · 627 citations
- [Universal Dependencies](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/) — Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre et al. · 2021 · 480 citations
- [Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/schuster-2016-enhanced-english-universal-dependencies-improved/) — Sebastian Schuster, Christopher D. Manning · 2016 · 336 citations
- [Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/) — Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter et al. · 2020 · 325 citations
- [Assessing the Annotation Consistency of the Universal Dependencies Corpora](https://md.research.elamur.ai/free/en/papers/marneffe-2017-assessing-annotation-consistency-universal-dependencies/) — Marie-Catherine de Marneffe, Matias Grioni, Jenna Kanerva et al. · 2017 · 30 citations

## Related concepts

- [Universal Dependencies](https://md.research.elamur.ai/free/en/concepts/universal-dependencies/) — Universal Dependencies is a framework and an open collection of treebanks that annotates the grammar of many languages with one shared…
- [Dependency parsing](https://md.research.elamur.ai/free/en/concepts/dependency-parsing/) — Dependency parsing is the task of recovering a sentence's syntactic structure as directed, labelled links between its words. Each word is…

## More papers

Topics: [🌐 Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [🌳 Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/)

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