PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/unkeler_pie16.cha change

Searching only french/unkeler_pie16.cha. Search all transcripts instead

6 matches in 5 utterances

16.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 372 words searched).

Concordance Utterances Distribution Matched forms

bah les voilà les p(e)tits chats ! MOT · french/unkeler_pie16.cha, line 172 · Pierre 1;11
bah les voilà les p(e)tits chats ! MOT · french/unkeler_pie16.cha, line 172 · Pierre 1;11
faut pas écrire sur les livres ! MOT · french/unkeler_pie16.cha, line 228 · Pierre 1;11
comment i(ls) font les poissons ? MOT · french/unkeler_pie16.cha, line 318 · Pierre 1;11
ça c'est une langue , ça c'est les oreilles , le nez . MOT · french/unkeler_pie16.cha, line 341 · Pierre 1;11
ouais c'est les chaussettes du bébé . MOT · french/unkeler_pie16.cha, line 407 · 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_pie16.cha	Pierre	1;11.11	372	5	6	16.13

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