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/sarah038.cha change

Searching only eng_USA_Brown/sarah038.cha. Search all transcripts instead

9 matches in 9 utterances

9.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

Concordance Utterances Distribution Matched forms

what have you got ? COU · eng_USA_Brown/sarah038.cha, line 281 · Sarah 2;11
what (h)ave you got to eat ? MOT · eng_USA_Brown/sarah038.cha, line 531 · Sarah 2;11
got anything good to eat ? MOT · eng_USA_Brown/sarah038.cha, line 533 · Sarah 2;11
what've you got to eat ? MOT · eng_USA_Brown/sarah038.cha, line 535 · Sarah 2;11
got orange in the teapot ? MOT · eng_USA_Brown/sarah038.cha, line 572 · Sarah 2;11
now what else have you got ? MOT · eng_USA_Brown/sarah038.cha, line 648 · Sarah 2;11
well # what've you got ? MOT · eng_USA_Brown/sarah038.cha, line 707 · Sarah 2;11
you got some ? MOT · eng_USA_Brown/sarah038.cha, line 761 · Sarah 2;11
I haven't got any . MOT · eng_USA_Brown/sarah038.cha, line 962 · Sarah 2;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

0246810

2;102;113;003;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/sarah038.cha	Sarah	2;11.23	985	9	9	9.14

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