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/sarah128.cha change

Searching only eng_USA_Brown/sarah128.cha. Search all transcripts instead

5 matches in 5 utterances

7.04 per 1,000 words of the child (CHI), in 1 of 1 transcripts (235 utterances, 710 words searched).

Concordance Utterances Distribution Matched forms

but it shrunk . CHI · eng_USA_Brown/sarah128.cha, line 397 · Sarah 4;10
but we don't got that one in # do we ? CHI · eng_USA_Brown/sarah128.cha, line 446 · Sarah 4;10
but she didn't do her dance when she's little . CHI · eng_USA_Brown/sarah128.cha, line 723 · Sarah 4;10
Donna's awful # but Ann_Marie's good . CHI · eng_USA_Brown/sarah128.cha, line 778 · Sarah 4;10
I play with Betty and Ann_Marie # but not t@l o@l Donna . CHI · eng_USA_Brown/sarah128.cha, line 789 · Sarah 4;10

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

per 1,000 words

02468

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/sarah128.cha	Sarah	4;10.21	710	5	5	7.04

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