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: eng_USA_Brown/sarah056.cha change

Searching only eng_USA_Brown/sarah056.cha. Search all transcripts instead

6 matches in 6 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

Concordance Utterances Distribution Matched forms

<is Richard a> [//] is Richard a baby ? MOT · eng_USA_Brown/sarah056.cha, line 971 · Sarah 3;04
is Tommy a baby ? MOT · eng_USA_Brown/sarah056.cha, line 975 · Sarah 3;04
Tommy's not a baby ? MOT · eng_USA_Brown/sarah056.cha, line 979 · Sarah 3;04
he's the baby in that +... MOT · eng_USA_Brown/sarah056.cha, line 1000 · Sarah 3;04
what's that little baby doing # Sarah ? GLO · eng_USA_Brown/sarah056.cha, line 1119 · Sarah 3;04
baby +... GLO · eng_USA_Brown/sarah056.cha, line 1466 · Sarah 3;04

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

per 1,000 words

012345

3;033;043;053;06

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
eng_USA_Brown/sarah056.cha	Sarah	3;4.01	1,572	6	6	3.82

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