PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_mar44.cha change

Searching only french/lyon_mar44.cha. Search all transcripts instead

4 matches in 2 utterances

2.95 per 1,000 words of the child (CHI), in 1 of 1 transcripts (322 utterances, 1,356 words searched).

Concordance Utterances Distribution Matched forms

comme ‹mes [//]› <celles de plastique> [/] <celles de plastique> [//] ‹mes [/]› mes couvercles en plastique… CHI · french/lyon_mar44.cha, line 1965 · Marie 4;00
comme ‹mes [//]› <celles de plastique> [/] <celles de plastique> [//] ‹mes [/]› mes couvercles en plastique . 1595540_1605203 CHI · french/lyon_mar44.cha, line 1965 · Marie 4;00
…plastique> [/] <celles de plastique> [//] ‹mes [/]› mes couvercles en plastique . 1595540_1605203 CHI · french/lyon_mar44.cha, line 1965 · Marie 4;00
en plastique . 1697115_1699055 CHI · french/lyon_mar44.cha, line 2048 · Marie 4;00

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

01234

3;114;004;014;02

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_mar44.cha	Marie	4;0.5	1,356	2	4	2.95

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.