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_pie18.cha change

Searching only french/unkeler_pie18.cha. Search all transcripts instead

5 matches in 5 utterances

10.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (129 utterances, 477 words searched).

Concordance Utterances Distribution Matched forms

t(u) as vu comme c'est mouillé ! MOT · french/unkeler_pie18.cha, line 98 · Pierre 2;00
t(u) as vu c(e) qu'i(l) pleut ! MOT · french/unkeler_pie18.cha, line 131 · Pierre 2;00
c'est quoi c(e)-que tu as dans les mains Pierre ? MOT · french/unkeler_pie18.cha, line 240 · Pierre 2;00
t(u) as vu toute la fumée ! MOT · french/unkeler_pie18.cha, line 335 · Pierre 2;00
i(l) fait dodo tu as vu ! MOT · french/unkeler_pie18.cha, line 514 · Pierre 2;00

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

per 1,000 words

03581013

1;112;002;012;02

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_pie18.cha	Pierre	2;0.07	477	5	5	10.48

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