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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Speakers

Context

Ignore case Whole words

Scope One transcript: french/unkeler_pie22.cha change

Searching only french/unkeler_pie22.cha. Search all transcripts instead

5 matches in 5 utterances

12.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (91 utterances, 401 words searched).

Concordance Utterances Distribution Matched forms

bah il a tout fait tomber , il va avoir une fessée . MOT · french/unkeler_pie22.cha, line 91 · Pierre 2;02
bah si i(l) doit y en avoir une là-bas , là regarde sous l(e) fauteuil ! MOT · french/unkeler_pie22.cha, line 324 · Pierre 2;02
bah il est où l'aut(r)e ? MOT · french/unkeler_pie22.cha, line 352 · Pierre 2;02
bah oui attention ! MOT · french/unkeler_pie22.cha, line 380 · Pierre 2;02
ah oui bah faut pas mett(r)e tes doigts ! MOT · french/unkeler_pie22.cha, line 395 · Pierre 2;02

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

per 1,000 words

051015

2;012;022;032;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/unkeler_pie22.cha	Pierre	2;2.02	401	5	5	12.47

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