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/sarah082.cha change

Searching only eng_USA_Brown/sarah082.cha. Search all transcripts instead

6 matches in 6 utterances

4.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,486 words searched).

Concordance Utterances Distribution Matched forms

(be)cause Sandra wasn't near your crayon # was she ? MOT · eng_USA_Brown/sarah082.cha, line 612 · Sarah 3;10
Sarah # do you have a grey crayon ? GUE · eng_USA_Brown/sarah082.cha, line 901 · Sarah 3;10
do you have a black crayon ? GUE · eng_USA_Brown/sarah082.cha, line 908 · Sarah 3;10
do you have a gold crayon ? GUE · eng_USA_Brown/sarah082.cha, line 914 · Sarah 3;10
do you have a gold crayon ? GUE · eng_USA_Brown/sarah082.cha, line 918 · Sarah 3;10
you got crayon on every floor in the house . MOT · eng_USA_Brown/sarah082.cha, line 1258 · Sarah 3;10

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;093;103;114;00

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/sarah082.cha	Sarah	3;10.16	1,486	6	6	4.04

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