PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_mar39b.cha change

Searching only french/lyon_mar39b.cha. Search all transcripts instead

6 matches in 6 utterances

5.71 per 1,000 words of the child (CHI), in 1 of 1 transcripts (258 utterances, 1,051 words searched).

Concordance Utterances Distribution Matched forms

mange ! CHI · french/lyon_mar39b.cha, line 139 · Marie 3;02
‹non ,› mange tout ! CHI · french/lyon_mar39b.cha, line 162 · Marie 3;02
mange tout ! CHI · french/lyon_mar39b.cha, line 167 · Marie 3;02
mange le ! 574858_577992 CHI · french/lyon_mar39b.cha, line 659 · Marie 3;02
mange le ! CHI · french/lyon_mar39b.cha, line 663 · Marie 3;02
‹pa(rce)+que [//]› <(par)c(e)-que on mange comme> [/] ‹www [= ! chante]› . CHI · french/lyon_mar39b.cha, line 769 · Marie 3;02

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

per 1,000 words

0246

3;013;023;033;04

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_mar39b.cha	Marie	3;2.23	1,051	6	6	5.71

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