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title: "SCONJ: subordinating conjunction — definition and key papers"
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# 🏷️ SCONJ: subordinating conjunction

Universal Dependencies · 7 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/)

A subordinating conjunction (SCONJ) is, in Universal Dependencies, the universal part-of-speech (UPOS) tag for function words that introduce a clause and mark it as dependent on another clause, as a complement or an adverbial modifier. Examples are English that, if and because.

Also: subordinating conjunction, subordinator, complementizer (for clause-complement markers), UPOS SCONJ

## What it is

A subordinating conjunction is a small, closed-class word that turns a whole clause into a part of a larger sentence. In *She left because it rained*, the word *because* makes *it rained* an adverbial clause modifying *left*. In *I know that he lied*, the word *that* makes *he lied* the clausal complement (`ccomp`) of *know*. The coordinating conjunction does something different: it joins two units of equal rank (*and*, *or*). In [Universal Dependencies](https://md.research.elamur.ai/free/en/concepts/universal-dependencies/) it is tagged CCONJ (coordinating conjunction).

UD defines SCONJ as a conjunction that links constructions by making one of them a constituent of the other. Typically it marks the incorporated clause as an argument or an adverbial. Under UD's content-head design, a function word depends on the content word it serves rather than heading it ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)). A SCONJ token therefore hangs from the predicate of the subordinate clause, usually through the relation `mark` (marker of a subordinate clause).

## Examples

- English: *I wonder whether/if she knows* (complement clause). *Although it was late, we stayed* (concessive adverbial). *He spoke as if he were ill*.
- French: *Je crois que tu as raison* (complement). *Il est parti parce qu'il pleuvait*. Here the multiword *parce que* is linked internally by `fixed` (fixed multiword expression).
- German: *Ich bleibe, weil es regnet*. The clause it introduces is verb-final.
- Spanish: *Dijo que vendría*. *Si llueve, no salgo*.

Several neighbouring tags compete with SCONJ for the same words:

| Word or case | Usual UD choice | Reason |
| --- | --- | --- |
| English *before/after* + noun | ADP (adposition) | it heads a nominal, so `case` (case marker) |
| *before/after* + clause | SCONJ | it introduces a clause, so `mark` |
| relative *that* (English) | PRON (pronoun) | it fills a role inside the relative clause |
| *when/where* (English) | ADV (adverb) | wh-adverbs with their own function, attached as `advmod`; German *wenn* and *als* are SCONJ |
| infinitival *to* (English) | PART (particle) | English UD convention treats it as a particle, though it still attaches as `mark`; other languages differ |

SCONJ words usually carry no features. The Czech treebanks follow a language-specific convention here, not a general UD rule. Forms such as *aby* and *kdyby* fuse a conjunction with a conditional auxiliary, so they bear Mood=Cnd plus Person and Number agreement.

## Across languages

Subordination is coded very differently across languages, and the frequency of SCONJ tokens varies with it. Head-initial European languages use free subordinators regularly. Japanese, Korean and Turkish rely mostly on verbal suffixes, nominalizations and converbs (non-finite verb forms used for adverbial subordination). As a result, many of their clauses contain no SCONJ word at all. UD takes the word as its basic unit and splits clitics into separate words ([Marneffe et al. 2021](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)). Accordingly, Hebrew treebanks treat the prefixed subordinator *še-* "that" as its own SCONJ token.

In both English and French data, `mark` is the usual relation for SCONJ. `fixed` appears where a subordinator spans several words. That is common in French, with *parce que*, *bien que* and *alors que*.

## In treebanks and research

The twelve-tag universal tagset of Petrov, Das and McDonald had no SCONJ category. Both kinds of conjunction fell under a single CONJ tag ([Petrov et al. 2012](https://md.research.elamur.ai/free/en/papers/petrov-2012-universal-part-speech-tagset/)). The UD v1 guidelines, published in October 2014, extended that set to 17 tags with SCONJ as a tag of its own. The v1 collection was described in a later overview ([Nivre et al. 2016](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)). The second version of the guidelines (UD v2) then renamed the remaining CONJ to CCONJ, which made the two-way distinction explicit ([Nivre et al. 2020](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/)).

Mapping legacy tagsets onto this distinction can rely on feature-based conversion. Interset is one such intermediate representation: a shared inventory of morphosyntactic features and their values. UD's morphological features were based on it ([Zeman 2008](https://md.research.elamur.ai/free/en/papers/zeman-2008-reusable-tagset-conversion-tagset-drivers/); [Nivre et al. 2016](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)).

Part-of-speech annotation is not always consistent across the UD corpora ([Marneffe et al. 2017](https://md.research.elamur.ai/free/en/papers/marneffe-2017-assessing-annotation-consistency-universal-dependencies/)). Differences arise even between two treebanks of one language annotated under the same guidelines ([Aggarwal & Zeman 2020](https://md.research.elamur.ai/free/en/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/)). Words on the SCONJ/ADP/ADV boundary are one plausible place for such differences. One proposed check compares the UPOS trigram distributions of two treebanks ([Aggarwal & Zeman 2020](https://md.research.elamur.ai/free/en/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/)):

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

Here A and B are two treebanks. KLcpos3, introduced by Rosa and Žabokrtský, is an asymmetric Kullback–Leibler divergence between their UPOS-trigram frequency distributions. Trigrams missing from one treebank are given a count of one. Summing both directions gives θpos, a symmetric measure proposed by Aggarwal and Zeman ([Aggarwal & Zeman 2020](https://md.research.elamur.ai/free/en/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/)).

Divergence also rises with smaller data and with differences in genre, so the authors derived genre-dependent thresholds. Whatever the genre mix, θpos at or below 0.5 counts as consistent annotation, and 4.0 or above as inconsistent ([Aggarwal & Zeman 2020](https://md.research.elamur.ai/free/en/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/)). Tagging *before* as SCONJ in one treebank and as ADP in another could contribute to such trigram differences.

For [part-of-speech tagging](https://md.research.elamur.ai/free/en/concepts/part-of-speech-tagging/) and [dependency parsing](https://md.research.elamur.ai/free/en/concepts/dependency-parsing/), a correctly tagged subordinator is useful evidence about where a clause begins and what kind of clause it may be. It can help a parser choose between relations such as `ccomp` and `advcl` (adverbial clause modifier). Still, words like *that* and *if* introduce both kinds of clause, and the choice also depends on the head predicate.

How often the tag SCONJ 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 | 1.41% of tokens (15,907 tokens) |
| French treebanks | 1.89% of tokens (20,562 tokens) |

The relations SCONJ words take most often The five most frequent in each language's treebanks, by tokens.

**The numbers**

| Pair | Tokens |
| --- | --- |
| English: mark | 15,249 |
| English: fixed | 190 |
| English: root | 83 |
| English: obj | 64 |
| English: cc | 63 |
| French: mark | 17,189 |
| French: fixed | 2,622 |
| French: case | 416 |
| French: advmod | 94 |
| French: dep | 60 |

## 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
- [A Universal Part-of-Speech Tagset](https://md.research.elamur.ai/free/en/papers/petrov-2012-universal-part-speech-tagset/) — Slav Petrov, Dipanjan Das, Ryan McDonald · 2012 · 1,180 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
- [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
- [Reusable Tagset Conversion Using Tagset Drivers](https://md.research.elamur.ai/free/en/papers/zeman-2008-reusable-tagset-conversion-tagset-drivers/) — Daniel Zeman · 2008 · 181 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
- [Estimating POS Annotation Consistency of Different Treebanks in a Language](https://md.research.elamur.ai/free/en/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/) — Akshay Aggarwal, Daniel Zeman · 2020 · 7 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…
- [Part-of-speech tagging](https://md.research.elamur.ai/free/en/concepts/part-of-speech-tagging/) — Part-of-speech tagging is the task of assigning each token in a text a grammatical category, such as noun, verb, adjective or determiner…
- [Morphology](https://md.research.elamur.ai/free/en/concepts/morphology/) — Morphology is the branch of linguistics that studies the internal structure of words. It covers how words are built from meaningful units…

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