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/sarah127.cha change

Searching only eng_USA_Brown/sarah127.cha. Search all transcripts instead

5 matches in 5 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,986 words searched).

Concordance Utterances Distribution Matched forms

you [/] you slided [*] [: slid] down ? FAT · eng_USA_Brown/sarah127.cha, line 1260 · Sarah 4;10
you slided [*] [: slid] down ? FAT · eng_USA_Brown/sarah127.cha, line 1262 · Sarah 4;10
what were you on # the slided@n ? FAT · eng_USA_Brown/sarah127.cha, line 1266 · Sarah 4;10
which is better # slided [*] [: slid] or slid ? MEL · eng_USA_Brown/sarah127.cha, line 1283 · Sarah 4;10
I slided@n down the slide . MEL · eng_USA_Brown/sarah127.cha, line 1289 · Sarah 4;10

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

per 1,000 words

0123

4;094;104;115;00

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/sarah127.cha	Sarah	4;10.06	1,986	5	5	2.52

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