sequence

Learn about the sequence extension point.

Name	Type	Description
tokens	[]NLPToken	A list of tokens with associated NLP metadata.
ignorecase	bool	Makes all matches case-insensitive.

While most extension points focus on writing style, sequence aims to support grammar-focused rules.

extends: sequence

# `%[4]s` is like `%s`, but specifically refers to the
# 4th token in our sequence.
message: |
  The infinitive '%[4]s' after 'be' requires 'to'.
  Did you mean '%[2]s %[3]s *to* %[4]s'?"
tokens:
  - tag: MD
  - pattern: be
  - tag: JJ
  # The `|` notation means that we'll accept `VB`
  # or `VBN` in position 4.
  - tag: VB|VBN

Every sequence-based rule is required to have at least one pattern (such as pattern: be, shown above). This becomes the “anchor” of the sequence: we find all instances of the first pattern and then check that the left- and right-hand sides of the sequence match.

Each entry in a sequence is known as an NLPToken and has the following structure:

# [optional]: A regular expression (required
# if `tag` isn't given).
pattern: '...'

# [optional]: If true, indicates that we
# *shouldn't* match this token.
negate: true # or false

# [optional]: A part-of-speech tag (required
# if `pattern` isn't given).
tag: '...'

# [optional]: An integer meaning that there may
# be up to `n` (3, in this case) tokens between
# this token and the next one.
skip: 3

sequence-based are sentence-scoped. See prose/tagging for a full list of supported part-of-speech tags.

spelling script