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_pie17.cha change

Searching only french/unkeler_pie17.cha. Search all transcripts instead

6 matches in 6 utterances

16.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (100 utterances, 374 words searched).

Concordance Utterances Distribution Matched forms

regarde on va faire une étoile ! MOT · french/unkeler_pie17.cha, line 48 · Pierre 1;11
attends , attends vas_y on tourne hop ! MOT · french/unkeler_pie17.cha, line 75 · Pierre 1;11
bah on n' y arrive pas chéri ! MOT · french/unkeler_pie17.cha, line 87 · Pierre 1;11
on le met sur sa tête aussi . MOT · french/unkeler_pie17.cha, line 371 · Pierre 1;11
oui c'est pour faire caca mais normalement on fait plus caca dedans nous . MOT · french/unkeler_pie17.cha, line 396 · Pierre 1;11
on verra après . MOT · french/unkeler_pie17.cha, line 442 · Pierre 1;11

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

per 1,000 words

05101520

1;101;112;002;01

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_pie17.cha	Pierre	1;11.23	374	6	6	16.04

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