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/sarah029.cha change

Searching only eng_USA_Brown/sarah029.cha. Search all transcripts instead

7 matches in 7 utterances

4.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

Concordance Utterances Distribution Matched forms

what happened # Sarah ? COU · eng_USA_Brown/sarah029.cha, line 123 · Sarah 2;09
Sarah +... COU · eng_USA_Brown/sarah029.cha, line 270 · Sarah 2;09
what you going to do today # Sarah ? FAT · eng_USA_Brown/sarah029.cha, line 272 · Sarah 2;09
what's all gone # Sarah ? GLO · eng_USA_Brown/sarah029.cha, line 442 · Sarah 2;09
<why did you> [//] why were you crying # Sarah ? COU · eng_USA_Brown/sarah029.cha, line 511 · Sarah 2;09
where'd the ice+cream fall # Sarah ? COU · eng_USA_Brown/sarah029.cha, line 578 · Sarah 2;09
Sarah +... FAT · eng_USA_Brown/sarah029.cha, line 1027 · Sarah 2;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

012345

2;082;092;102;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
eng_USA_Brown/sarah029.cha	Sarah	2;9.14	1,497	7	7	4.68

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