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🏷️ SYM: symbol

Universal Dependencies · 7 key papers · all concepts

Part of: 🗨️ Natural language processing · 🌐 Universal Dependencies

SYM (symbol) is the universal part-of-speech tag in Universal Dependencies for word-like entities that differ from ordinary words in form, function or both, such as currency signs, mathematical operators, the percent sign and emoji.

Also: symbol, UPOS SYM

What it is

In Universal Dependencies, every syntactic word gets one tag from a closed list of 17 universal part-of-speech categories (Nivre et al. 2020). SYM is the tag for symbols. These are written signs that work like words: they can be read aloud ("percent", "plus", "dollar") and can fill a slot in a phrase. They are not spelled with the ordinary letters of the language.

A symbol differs from punctuation. A punctuation mark structures or delimits text. A symbol carries content of its own. The guidelines treat SYM as part of the morphological layer of part-of-speech tagging, together with lemmas and features (Nivre et al. 2016).

Borderline cases

Features and relations

Symbols rarely inflect, so the FEATS column of a SYM token is normally empty. Treebank-specific marks such as Typo can still appear, since UD v2 introduced that feature (Nivre et al. 2020).

The dependency relation depends on what the symbol does in the sentence. An operator such as "+" or "/" between conjuncts is attached as cc. A sign standing in for a preposition ("@" for "at") is attached as case. An emoticon is attached as discourse. A percent or currency sign that heads a quantity is attached as obl or nmod, with the number depending on it.

Examples

Across languages

The inventory of signs is largely shared across scripts. Their syntax follows the host language, because a symbol takes the position of the word it is read as. Treebanks differ in two main ways:

The relations SYM tokens take differ between languages:

LanguageDominant relations of SYM
Englishcc and case lead, followed by root, discourse and obl
Frenchnmod and obl lead, followed by cc, case and appos

The English pattern reflects web and social-media text, with its "/", "&", "@" and emoticons. The French pattern reflects measure phrases headed by % or currency signs. In both languages symbols make up only a tiny share of all tokens.

In treebanks and research

The twelve-category universal tagset of Petrov, Das and McDonald had no symbol class. Its categories were derived pragmatically from existing treebank guidelines, and stray signs fell under "." (punctuation) or X (Petrov et al. 2012). UD v1 expanded that set to 17 tags, adding PROPN and AUX among others. In doing so it separated SYM from PUNCT (Nivre et al. 2016). Its morphological features came from Interset, an interlingua of tagset drivers that decode and re-encode tags (Zeman 2008).

The theoretical account of UD treats function-like elements as dependents of content words (Marneffe et al. 2021). This explains why a symbol read as a preposition or conjunction attaches as case or cc. The principles and tooling behind these choices are also presented in tutorial form (Zeman 2021).

Because the SYM/PUNCT/X boundary rests on judgement, it is a known source of disagreement between treebanks of the same language. Consistency checks on UD corpora find annotation errors of this kind (Marneffe et al. 2017). A symmetric divergence over UPOS trigrams can flag treebank pairs whose tagging diverges, without relying on a trained tagger (Aggarwal & Zeman 2020). For dependency parsing, SYM is a small but noisy class. Errors on it mostly come from tokenization and from the cc versus punct decision.

How often the tag SYM 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 SYM occurs: its share of all tokensEnglish treebanks: 0.16% of tokens (1,755 tokens)English treebanks0.16% of tokens (1,755 tokens)French treebanks: 0.09% of tokens (1,027 tokens)French treebanks0.09% of tokens (1,027 tokens)
The numbers
TreebanksShare
English treebanks0.16% of tokens (1,755 tokens)
French treebanks0.09% of tokens (1,027 tokens)

The relations SYM words take most often

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

The relations SYM words take most oftenEnglish: cc: 341English: cc341English: case: 316English: case316English: root: 170English: root170English: discourse: 136English: discourse136English: obl: 119English: obl119French: nmod: 172French: nmod172French: obl: 157French: obl157French: cc: 134French: cc134French: case: 125French: case125French: appos: 84French: appos84
The numbers
PairTokens
English: cc341
English: case316
English: root170
English: discourse136
English: obl119
French: nmod172
French: obl157
French: cc134
French: case125
French: appos84

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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