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/sarah084.cha change

Searching only eng_USA_Brown/sarah084.cha. Search all transcripts instead

8 matches in 8 utterances

32.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (59 utterances, 245 words searched).

Concordance Utterances Distribution Matched forms

is that a carrot ? FAT · eng_USA_Brown/sarah084.cha, line 52 · Sarah 3;11
that very good . MEL · eng_USA_Brown/sarah084.cha, line 146 · Sarah 3;11
that hard . MEL · eng_USA_Brown/sarah084.cha, line 148 · Sarah 3;11
a castle in the sand or something like that ? MOT · eng_USA_Brown/sarah084.cha, line 190 · Sarah 3;11
I think that Bugs_Bunny . MEL · eng_USA_Brown/sarah084.cha, line 212 · Sarah 3;11
who says that ? GLO · eng_USA_Brown/sarah084.cha, line 240 · Sarah 3;11
you know that song +"/. MEL · eng_USA_Brown/sarah084.cha, line 285 · Sarah 3;11
that what she needs . MEL · eng_USA_Brown/sarah084.cha, line 290 · Sarah 3;11

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

per 1,000 words

010203040

3;103;114;004;01

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/sarah084.cha	Sarah	3;11.09	245	8	8	32.65

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