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: eng_USA_Brown/sarah096.cha change

Searching only eng_USA_Brown/sarah096.cha. Search all transcripts instead

6 matches in 6 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (470 utterances, 2,280 words searched).

Concordance Utterances Distribution Matched forms

see the cartoons this morning ? FAT · eng_USA_Brown/sarah096.cha, line 76 · Sarah 4;02
where else did you see her ? MOT · eng_USA_Brown/sarah096.cha, line 397 · Sarah 4;02
you ever see any big turtles ? FAT · eng_USA_Brown/sarah096.cha, line 1006 · Sarah 4;02
where'd you see great big turtles ? MOT · eng_USA_Brown/sarah096.cha, line 1012 · Sarah 4;02
those that y(ou) see em right down here in the river . FAT · eng_USA_Brown/sarah096.cha, line 1066 · Sarah 4;02
let's see . COU · eng_USA_Brown/sarah096.cha, line 1322 · Sarah 4;02

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

per 1,000 words

0123

4;014;024;034;04

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/sarah096.cha	Sarah	4;2.16	2,280	6	6	2.63

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