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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Context

Ignore case Whole words

Scope One transcript: french/unkeler_pie13.cha change

Searching only french/unkeler_pie13.cha. Search all transcripts instead

6 matches in 6 utterances

22.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (68 utterances, 265 words searched).

Concordance Utterances Distribution Matched forms

oh oui la balle ! MOT · french/unkeler_pie13.cha, line 108 · Pierre 1;09
oh i(l) fait dodo , Pierre i(l) fait dodo . MOT · french/unkeler_pie13.cha, line 161 · Pierre 1;09
oh (il) y a l(e) téléphone ! MOT · french/unkeler_pie13.cha, line 201 · Pierre 1;09
oh c'est sale Pierre ! MOT · french/unkeler_pie13.cha, line 267 · Pierre 1;09
oh (il) y a d(e) l'eau là-d(e)dans ! MOT · french/unkeler_pie13.cha, line 286 · Pierre 1;09
oh mais non laisse ça Pierre ! MOT · french/unkeler_pie13.cha, line 293 · Pierre 1;09

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;081;091;101;11

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_pie13.cha	Pierre	1;9.30	265	6	6	22.64

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