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/unkeler_cam04.cha change

Searching only french/unkeler_cam04.cha. Search all transcripts instead

6 matches in 5 utterances

22.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (68 utterances, 263 words searched).

Concordance Utterances Distribution Matched forms

va (.) va le mettre à faire dodo ! MOT · french/unkeler_cam04.cha, line 48 · Camille 1;05
va (.) va le mettre à faire dodo ! MOT · french/unkeler_cam04.cha, line 48 · Camille 1;05
bah oui c'est l(e) bébé qui va au dodo ! MOT · french/unkeler_cam04.cha, line 168 · Camille 1;05
oh i(l) va avoir mal à la tête ! MOT · french/unkeler_cam04.cha, line 196 · Camille 1;05
i(l) va pleurer ! MOT · french/unkeler_cam04.cha, line 199 · Camille 1;05
i(l) va pleurer si tu l(e) jettes comme ça ! MOT · french/unkeler_cam04.cha, line 203 · Camille 1;05

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

per 1,000 words

0510152025

1;041;051;061;07

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/unkeler_cam04.cha	Camille	1;5.04	263	5	6	22.81

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