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/sarah057.cha change

Searching only eng_USA_Brown/sarah057.cha. Search all transcripts instead

6 matches in 6 utterances

4.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

Concordance Utterances Distribution Matched forms

let's make a frog . MOT · eng_USA_Brown/sarah057.cha, line 569 · Sarah 3;04
like me to make a frog ? MOT · eng_USA_Brown/sarah057.cha, line 571 · Sarah 3;04
I'll make a frog . MOT · eng_USA_Brown/sarah057.cha, line 575 · Sarah 3;04
(a)n(d) there's a frog . MOT · eng_USA_Brown/sarah057.cha, line 595 · Sarah 3;04
xxx made a frog . MOT · eng_USA_Brown/sarah057.cha, line 603 · Sarah 3;04
that's a frog . MOT · eng_USA_Brown/sarah057.cha, line 611 · 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/sarah057.cha	Sarah	3;4.09	1,368	6	6	4.39

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