AI Tone Terms (Bilingual, Typst) — Reference

The Typst template is shared by Chinese and English bilingual papers. This file records two sets of high-frequency word lists and trigger instructions at the same time. Supporting threshold fileAI_TONE_THRESHOLDS.yamlyesdeai_check.pyThe authoritative configuration actually read.

Threshold Validation Method

• deai_check.pyRead on startupAI_TONE_THRESHOLDS.yaml。
• In term_thresholds::
  • key All ASCII letters → Count by word boundary (case insensitive).
  • key contains non-ASCII characters → count directly by substring.
• Each over-threshold word triggers a [Script] LOW trace.
• Thresholds are only changed in yaml; this MD is for illustration only.

Maintenance cadence (snapshot, not a final state)

These term lists capture current AI-tone tells, not a permanent truth. As words such asdelve / pivotal(and "enabling" and "manifesting" in Chinese) get widely named, careful authors filter them and their frequency drops, while new AI-preferred words keep emerging. Re-check roughly every 6 months against excess-vocabulary research; prune or add accordingly rather than treating the list as frozen.

• Last reviewed / Last review: 2026-06
• Sources / Source: Kobak et al., Sci. Adv. 2025; Geng & Trotta 2025

English

Word	Threshold	Why it matters
significant	5	Often hides missing effect size or p-value
comprehensive	3	Marketing language; rarely earned by a single study
effective	5	Cheap claim without baseline comparison
novel	4	Reviewers discount the word unless the novelty is named
robust	4	Needs the perturbation / noise level that justifies the claim
important	5	Replace with what is at stake
various	5	Vague quantifier; usually fixable with a number
several	5	Vague quantifier
numerous	3	Vague quantifier
furthermore	3	Padding connector
moreover	3	Padding connector
notably	3	Editorial framing
obviously	3	Over-confident hedge
clearly	4	Over-confident hedge

Chinese

word	threshold	Remark
first	4	Discussion opening template
Secondly	4	paired with "first"
However	5	turning abuse
therefore	6	Can keep more
obviously	3	The more natural, the less necessary
Significantly	5	Often lacks quantitative support
comprehensive	3	It is difficult to "comprehensive" a single study
go deep	3	marketing language
important	5	Explain clearly what "important" means
key	5	Same as above
core	4	A paper should not have too many "cores"

Burstiness (repetition at the beginning of paragraph)

Fires when 3 consecutive paragraphs start with the same first 8 characters. The 8-character setting covers both Chinese and English:

• "Furtherm..." / "Furtherm..." / "Furtherm..." (English)
• "First of all, I..." / "First of all, I..." / "First of all, I..." (Chinese)

Fix: Rewrite at least one paragraph to use a different syntax.

Throat clearing

There are about 10 first phrases in the English and Chinese segments each, and one hit will be credited with [Script] LOW. See AI_TONE_THRESHOLDS.yaml for a complete list.

Punctuation

• full text— / ---The total exceedsmax_em_dashes_per_doc→ Record an aggregation trace at the first occurrence.
• Appears in the main text section!or！→ Record one trace at a time.

Out of scope

• Syntax syntax (covered by editor self-test).
• Reference density (overridden by verify_bib.py).
• Chapter structure (covered by check_format.py).
• Protected terms and mathematical environments (see the SKILL.md / FORBIDDEN_TERMS.md style chapter).