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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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah037.cha change

Searching only eng_USA_Brown/sarah037.cha. Search all transcripts instead

6 matches in 6 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 1,851 words searched).

Concordance Utterances Distribution Matched forms

what are you trying to do # Sarah ? COU · eng_USA_Brown/sarah037.cha, line 203 · Sarah 2;11
what's that # Sarah ? MOT · eng_USA_Brown/sarah037.cha, line 696 · Sarah 2;11
Sarah # why do you always put everything in front of the toybox ? MOT · eng_USA_Brown/sarah037.cha, line 834 · Sarah 2;11
Sarah what ? MOT · eng_USA_Brown/sarah037.cha, line 935 · Sarah 2;11
what's your birthday record gonna be # Sarah ? COU · eng_USA_Brown/sarah037.cha, line 1736 · Sarah 2;11
Sarah +... FAT · eng_USA_Brown/sarah037.cha, line 1849 · 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

01234

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/sarah037.cha	Sarah	2;11.17	1,851	6	6	3.24

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