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/sarah032.cha change

Searching only eng_USA_Brown/sarah032.cha. Search all transcripts instead

6 matches in 5 utterances

4.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,399 words searched).

Concordance Utterances Distribution Matched forms

and what's my Daddy's name ? MOT · eng_USA_Brown/sarah032.cha, line 571 · Sarah 2;10
what's my Daddy's name ? MOT · eng_USA_Brown/sarah032.cha, line 582 · Sarah 2;10
yeah # and what's <Daddy's> [/] Daddy's name ? MOT · eng_USA_Brown/sarah032.cha, line 586 · Sarah 2;10
yeah # and what's <Daddy's> [/] Daddy's name ? MOT · eng_USA_Brown/sarah032.cha, line 586 · Sarah 2;10
yeah # and what's # Daddy's Mummy's name ? MOT · eng_USA_Brown/sarah032.cha, line 596 · Sarah 2;10
what's Daddy's name ? MOT · eng_USA_Brown/sarah032.cha, line 626 · Sarah 2;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

012345

2;092;102;113;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/sarah032.cha	Sarah	2;10.05	1,399	5	6	4.29

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