THRC That relative clauses on subject position

MFTE THRC MFTE THRCother child of THRC_ALL

Definition

Relative clauses introduced by “that” where “that” functions as the subject of the relative clause (e.g., “the man that came”, “the ring that was lost”).

Parent

THRC_ALL

Detection Rules

“That” as WDT functioning as subject of the relative clause verb.

semgrex{word:/[Tt]hat/; pos:WDT}=that <nsubj {pos:/VB.*/}=verb

Requires: word, pos, dep

pybiber

“that” with dep nsubj or nsubjpass, preceded by noun, cardinal, or determiner. pybiber uses dep_rel.str.contains(“nsubj”) to match both active and passive subjects, and requires the preceding token to be N*/CD/DT to filter out demonstrative “That” at sentence start.

cql[pos="NN|NNS|NNP|NNPS|CD|DT"] [word="that" & dep="nsubj|nsubjpass"]

Requires: word, pos, dep

All “that” as relative pronoun. Requires post-filter to distinguish subject from object position.

cql[word="that" & pos="WDT"]

Requires: word, pos

mfte

MFTE tags all that_WDT as THRC (line 762). Does not distinguish subject from object position. Pure POS-tag based.

cql[word="[Tt]hat" & pos="WDT"]

Requires: word, pos

Normalization

Per finite_verbs

Examples

You must be very clever to find a use for something that costs nothing.

Source: le_foll_2024

I’ll just run a cable that goes from here to there.

Source: le_foll_2024

Sources

  • biber_1988 — Biber, Douglas (1988) : Variation across Speech and Writing
  • mfte — Le Foll, Elen & Shakir, Muhammad (2023/2025) : Multi-Feature Tagger of English (MFTE) — Python version
  • pybiber — Brown, David West & Reinhart, Alex (2026) : pybiber — Python package for linguistic feature extraction and Multi-Dimensional Analysis

Notes

D6 loading .46. MFTE merges subject and object positions. Biber counted them separately.