I-Lang Verb Dictionary

88 verbs across 9 categories. Each verb has a 4-letter mnemonic, a definition, and a usage example. This is the complete vocabulary of I-Lang v3.0.

Quick navigation: Data I/O · Transform · Analysis · Generation · Execute · Control · Output · Structure · Meta · Batch

Data I/O 12 verbs

READ
Read content from source
[READ:@SRC|path=report.pdf]
WRIT
Write content to destination
[WRIT:@DST|path=output.md]
GET
Fetch from URL or API
[GET:@SRC|path=https://api.example.com/data]
DEL
Delete content or file
[DEL:@LOCAL|path=temp.txt]
LIST
List files or items
[LIST:@LOCAL|mch=*.md]
COPY
Copy content
[COPY:@SRC|dst=@DST]
MOVE
Move content
[MOVE:@SRC|dst=archive/]
STRM
Stream content progressively
[STRM:@SRC|path=large.csv]
CACH
Cache for reuse
[CACH:@PREV|key=q3data]
SYNC
Synchronize between sources
[SYNC:@SRC|dst=@DST]
SEND
Send to external destination
[SEND:@DST|fmt=json]
RUN
Execute command or script
[RUN|cmd=python script.py]

Transform 22 verbs

FMT
Format output
[FMT:@PREV|fmt=md]
CONV
Convert between formats
[CONV:@SRC|src=csv,dst=json]
SPLIT
Split into parts (alias: ∂)
[∂:@PREV|by=paragraph]
MERGE
Merge multiple inputs (alias: Σ)
[Σ:@PREV]
MAP
Apply function to each item (alias: λ)
[λ:@PREV|fn=summarize]
FILT
Filter by condition (alias: φ)
[φ:@PREV|whr=score>80]
SORT
Sort by criteria (alias: ∇)
[∇:@PREV|by=date,desc]
DEDU
Remove duplicates
[DEDU:@PREV|by=email]
FLAT
Flatten nested structure
[FLAT:@PREV|depth=2]
NEST
Create nested structure
[NEST:@PREV|by=category]
CHNK
Split into sized chunks
[CHNK:@PREV|size=500w]
REDU
Reduce to single value
[REDU:@PREV|fn=sum]
PIVT
Pivot table transformation
[PIVT:@PREV|rows=month,cols=product]
TRNS
Transpose rows and columns
[TRNS:@PREV]
ENCD
Encode content
[ENCD:@PREV|fmt=base64]
DECD
Decode content
[DECD:@PREV|fmt=base64]
HASH
Generate hash (alias: ξ)
[ξ:@PREV|algo=sha256]
CMPR
Compress content (alias: ζ)
[ζ:@PREV|fmt=gzip]
EXPN
Expand/decompress
[EXPN:@PREV]
XLAT
Translate language (alias: θ)
[θ:@PREV|lng=ja,ton=formal]
REWR
Rewrite content
[REWR:@PREV|ton=casual]
DIFF
Compare differences (alias: Δ)
[Δ:@SRC|dst=@DST]

Analysis 17 verbs

SCAN
Scan for patterns
[SCAN:@SRC|mch=email]
MTCH
Match against pattern
[MTCH:@PREV|pat=\d{4}-\d{2}]
CNT
Count items
[CNT:@PREV]
STAT
Statistical summary (alias: μ)
[μ:@PREV]
EVAL
Evaluate quality or correctness
[EVAL:@PREV|criteria=accuracy]
SCOR
Score or rate
[SCOR:@PREV|scale=1-10]
RANK
Rank by criteria
[RANK:@PREV|by=relevance]
TRND
Identify trends
[TRND:@PREV|period=monthly]
CORR
Find correlations
[CORR:@PREV|vars=price,demand]
FRCS
Forecast future values
[FRCS:@PREV|horizon=6m]
ANOM
Detect anomalies
[ANOM:@PREV|threshold=2sigma]
SENT
Sentiment analysis (alias: ψ)
[ψ:@PREV]
CLST
Cluster similar items
[CLST:@PREV|k=5]
BNCH
Benchmark comparison
[BNCH:@PREV|baseline=v2]
AUDT
Audit for compliance
[AUDT:@PREV|standard=gdpr]
VALD
Validate data
[VALD:@PREV|schema=user]
CLSF
Classify into categories
[CLSF:@PREV|categories=spam,ham]

Generation 10 verbs

CREA
Create new content
[CREA|type=blog,topic=AI protocols]
DRFT
Draft initial version
[DRFT|type=email,ton=formal]
EXPD
Expand with more detail
[EXPD:@PREV|len=2x]
SHRT
Shorten content
[SHRT:@PREV|len=3,sty=bullets]
PARA
Paraphrase
[PARA:@PREV|ton=simple]
STYL
Apply style
[STYL:@PREV|sty=academic]
TMPL
Apply template
[TMPL|name=meeting_notes]
FILL
Fill template with data
[FILL:@PREV|data=@SRC]
EXTC
Extract specific content
[EXTC:@SRC|type=emails]
GEN
Generate from specification
[GEN|spec=api_endpoint]

Execute 10 verbs

PLAN
Create execution plan
[PLAN|goal=migrate database]
DECI
Make decision
[DECI:@PREV|criteria=cost,speed]
CHEK
Check status or validity
[CHEK:@SRC|type=syntax]
FIX
Fix errors
[FIX:@PREV|type=grammar]
DPLO
Deploy to target
[DPLO:@PREV|dst=production]
SAVE
Save current state
[SAVE:@PREV|path=checkpoint.json]
REVW
Review and critique
[REVW:@PREV|focus=security]
LERN
Learn from input
[LERN:@SRC|type=feedback]
TEST
Test functionality
[TEST:@PREV|type=unit]
PARS
Parse structured content
[PARS:@SRC|fmt=json]

Control 2 verbs

LOOP
Iterate over items
[LOOP:@PREV|fn=process]
WAIT
Wait for condition
[WAIT|until=ready]

Output 5 verbs

OUT
Final output (alias: Ω)
[Ω]
DISP
Display formatted
[DISP:@PREV|fmt=chart]
EXPT
Export to file
[EXPT:@PREV|path=report.pdf]
PRNT
Print to console
[PRNT:@PREV]
LOG
Log for debugging
[LOG:@PREV|level=info]

Structure 5 verbs

SET
Set variable or state
[SET|key=mode,val=production]
TAG
Add tags/labels
[TAG:@PREV|tags=urgent,review]
GRP
Group by criteria
[GRP:@PREV|by=department]
EMBD
Embed content
[EMBD:@SRC|into=@DST]

Meta 4 verbs

HELP
Show help
[HELP|topic=FILT]
DESC
Describe content
[DESC:@PREV]
INTR
Introspect state
[INTR:@SELF]
NOOP
No operation
[NOOP]

Batch 1 verbs

BATC
Batch operation (alias: Π)
[Π:READ|src=file1,file2,file3]

Full machine-readable spec: github.com/ilang-ai/ilang-dict  ·  npm: @i-language/spec

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