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/sarah023.cha change

Searching only eng_USA_Brown/sarah023.cha. Search all transcripts instead

7 matches in 7 utterances

5.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (336 utterances, 1,231 words searched).

Concordance Utterances Distribution Matched forms

what are you doing # Sarah ? COU · eng_USA_Brown/sarah023.cha, line 38 · Sarah 2;07
whose girl are you ? MOT · eng_USA_Brown/sarah023.cha, line 233 · Sarah 2;07
whose girl are you ? MOT · eng_USA_Brown/sarah023.cha, line 373 · Sarah 2;07
are you tired ? MOT · eng_USA_Brown/sarah023.cha, line 382 · Sarah 2;07
then what are you yawnin(g) for ? MOT · eng_USA_Brown/sarah023.cha, line 386 · Sarah 2;07
those are blocks . MOT · eng_USA_Brown/sarah023.cha, line 996 · Sarah 2;07
where are the trees # they're right here . MOT · eng_USA_Brown/sarah023.cha, line 1345 · 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

0246

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/sarah023.cha	Sarah	2;7.28	1,231	7	7	5.69

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