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

qu'est-ce que tu r(e)gardes Pierre ? MOT · french/unkeler_pie22.cha, line 12 · Pierre 2;02
des œufs , tu aimes les œufs Pierre ? MOT · french/unkeler_pie22.cha, line 77 · Pierre 2;02
Pierre sous l(e) fauteuil ! MOT · french/unkeler_pie22.cha, line 340 · Pierre 2;02
c'est quoi ça Pierre ? MOT · french/unkeler_pie22.cha, line 357 · Pierre 2;02
oui mais Pierre il est tout gribouillé le , le (.) tableau , faut l'effacer d'abord ! MOT · french/unkeler_pie22.cha, line 411 · 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.