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

7 matches in 7 utterances

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

Concordance Utterances Distribution Matched forms

this must be from uh your new toys # the shovel ? MOT · eng_USA_Brown/sarah029.cha, line 27 · Sarah 2;09
you want a new dog ? FAT · eng_USA_Brown/sarah029.cha, line 147 · Sarah 2;09
you want Daddy to buy a new dog ? FAT · eng_USA_Brown/sarah029.cha, line 557 · Sarah 2;09
gonna get a new pair # huh ? MOT · eng_USA_Brown/sarah029.cha, line 976 · Sarah 2;09
so # hey # what else is new ? FAT · eng_USA_Brown/sarah029.cha, line 1025 · Sarah 2;09
what else is new ? FAT · eng_USA_Brown/sarah029.cha, line 1029 · Sarah 2;09
nothing's new ? FAT · eng_USA_Brown/sarah029.cha, line 1036 · 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

012345

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	7	7	4.68

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