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_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

bah on n' y arrive pas chéri ! MOT · french/unkeler_pie17.cha, line 87 · Pierre 1;11
le sable il est pas assez mouillé . MOT · french/unkeler_pie17.cha, line 90 · Pierre 1;11
il est pas assez mouillé le sable mon poussin ! MOT · french/unkeler_pie17.cha, line 93 · Pierre 1;11
c'est pas une bête ! MOT · french/unkeler_pie17.cha, line 204 · Pierre 1;11
ah mets pas tes doigts dans ta bouche ! MOT · french/unkeler_pie17.cha, line 212 · Pierre 1;11
non c'est pas des chaussettes , c'est des moufles . MOT · french/unkeler_pie17.cha, line 377 · 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.