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🌐 fixed: fixed multiword expression

Universal Dependencies · 7 key papers · all concepts

Part of: 🗨️ Natural language processing · 🌐 Universal Dependencies

The fixed multiword expression relation (fixed) is the Universal Dependencies label for grammaticalized multiword expressions (MWEs): word sequences that have turned from free phrases into a single function word or adverbial, such as because of or as well as. The first word heads the expression and every other word attaches to it.

Also: fixed multiword expression (fixed MWE), mwe (UD v1 predecessor)

What it is

In Universal Dependencies (UD), most words are joined by relations that state their grammatical role toward a content-word head. Function words such as prepositions and auxiliaries depend on the content word they serve (Marneffe et al. 2021).

Some strings resist this analysis. English in spite of, French parce que and Portuguese apesar de behave like one preposition or conjunction. UD treats them as single units because their parts no longer combine productively. For such MWEs UD v2 offers the label fixed. It is one of the 37 universal relation types, and languages may extend that inventory only through subtypes (Nivre et al. 2020).

The convention, as presented in introductions to UD principles (Zeman 2021), is flat:

The words inside normally take no dependents of their own. The universal guidelines define no subtype of fixed.

The label replaces the v1 relation mwe, which belonged to the 40-type inventory of the first release (Nivre et al. 2016). That inventory itself grew out of the universal Stanford dependencies (Marneffe et al. 2014). The change also narrowed the scope: v2 reserves fixed for grammaticalized expressions, and other strings once labelled mwe receive flat or compound. In the English enhanced++ representation, mwe served for multiword prepositions such as in front of, yielding a single edge nmod:in_front_of (Schuster & Manning 2016).

Neighbouring relations

RelationUsed forInternal structure
fixedgrammaticalized function-word expressionsfrozen, head = first word
flatheadless names, foreign phrases (optionally flat:foreign)no syntactic head, first word chosen by convention
compoundlexical compounds such as phone bookreal head–modifier structure

Idioms such as kick the bucket are not fixed. They keep ordinary relations, because their internal syntax is regular (kicked the bucket inflects normally).

Examples

Arrows point from the head to the dependent:

A test for borderline strings is whether any inner word could be modified or replaced. If it can, the string is probably not fixed.

Across languages

How often the relation is used depends on how much a language has grammaticalized, and on annotation tradition. Common patterns include:

Such differences reflect both the languages themselves and where each team draws the line between fixed and compositional analysis.

In treebanks and research

Because fixed depends on lexical judgement, it is a known source of inconsistency across UD treebanks. Consistency checks of the corpora look for identical strings annotated differently in different sentences (Marneffe et al. 2017).

To make annotation systematic, Portuguese UD work gathered candidate fixed expressions from three separate sources before revising the treebank (Souza & Freitas 2023). This ties the relation to idioms, to multiword expressions in general and to lexicography.

In dependency parsing, fixed edges are short and generally predictable from the word forms. The harder decision is likely whether a string such as as well is frozen in a given sentence at all. UD served as the data for the CoNLL 2017 and 2018 shared tasks on parsing raw text (Marneffe et al. 2021). Such decisions therefore count toward attachment scores, although fixed edges form only a small part of any treebank.

Downstream, treating a fixed unit as one function word suits tasks that read relations between content words, as with the nmod:in_front_of edge above (Schuster & Manning 2016). Information extraction over shortest dependency paths is one such task (Wu & Weld 2010).

How often the relation fixed 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 relation fixed occurs: its share of all tokensEnglish treebanks: 0.22% of tokens (2,484 tokens)English treebanks0.22% of tokens (2,484 tokens)French treebanks: 0.74% of tokens (8,075 tokens)French treebanks0.74% of tokens (8,075 tokens)
The numbers
TreebanksShare
English treebanks0.22% of tokens (2,484 tokens)
French treebanks0.74% of tokens (8,075 tokens)

What fixed joins: the most frequent head tag → dependent tag

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

What fixed joins: the most frequent head tag → dependent tagEnglish: ADP → ADP: 368English: ADP → ADP368English: ADJ → ADP: 365English: ADJ → ADP365English: ADV → ADP: 359English: ADV → ADP359English: ADV → ADV: 292English: ADV → ADV292English: ADP → NOUN: 210English: ADP → NOUN210French: ADV → SCONJ: 2,116French: ADV → SCONJ2,116French: ADP → NOUN: 1,238French: ADP → NOUN1,238French: ADP → ADV: 806French: ADP → ADV806French: ADP → DET: 482French: ADP → DET482French: ADP → SCONJ: 416French: ADP → SCONJ416
The numbers
PairTokens
English: ADP → ADP368
English: ADJ → ADP365
English: ADV → ADP359
English: ADV → ADV292
English: ADP → NOUN210
French: ADV → SCONJ2,116
French: ADP → NOUN1,238
French: ADP → ADV806
French: ADP → DET482
French: ADP → SCONJ416

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: 🌐 Universal Dependencies · 🌳 Dependency parsing

Shelves: 🗣️ Language and Linguistics

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