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/sarah022.cha change

Searching only eng_USA_Brown/sarah022.cha. Search all transcripts instead

6 matches in 6 utterances

8.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (201 utterances, 692 words searched).

Concordance Utterances Distribution Matched forms

what's Sarah doing ? GLO · eng_USA_Brown/sarah022.cha, line 56 · Sarah 2;07
what's your teacher's name ? MOT · eng_USA_Brown/sarah022.cha, line 196 · Sarah 2;07
what's that other song ? MOT · eng_USA_Brown/sarah022.cha, line 230 · Sarah 2;07
what's the matter with your tummy ? MOT · eng_USA_Brown/sarah022.cha, line 529 · Sarah 2;07
Sarah # what's the doggie say ? MOT · eng_USA_Brown/sarah022.cha, line 632 · Sarah 2;07
Sarah # what's the kitty's name ? MOT · eng_USA_Brown/sarah022.cha, line 759 · Sarah 2;07

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

per 1,000 words

0246810

2;062;072;082;09

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/sarah022.cha	Sarah	2;7.18	692	6	6	8.67

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