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

9 matches in 9 utterances

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

Concordance Utterances Distribution Matched forms

whose girl are you ? MOT · eng_USA_Brown/sarah029.cha, line 164 · Sarah 2;09
whose girl are you ? FAT · eng_USA_Brown/sarah029.cha, line 166 · Sarah 2;09
are your teeth cold ? FAT · eng_USA_Brown/sarah029.cha, line 372 · Sarah 2;09
are you sticky ? FAT · eng_USA_Brown/sarah029.cha, line 570 · Sarah 2;09
are your hands sticky ? FAT · eng_USA_Brown/sarah029.cha, line 572 · Sarah 2;09
whose girl are you ? MOT · eng_USA_Brown/sarah029.cha, line 622 · Sarah 2;09
no # those are the wrong lettuce . FAT · eng_USA_Brown/sarah029.cha, line 795 · Sarah 2;09
are you supposed to play with matches ? FAT · eng_USA_Brown/sarah029.cha, line 1158 · Sarah 2;09
you are ? FAT · eng_USA_Brown/sarah029.cha, line 1162 · 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

02468

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	9	9	6.01

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