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/sarah084.cha change

Searching only eng_USA_Brown/sarah084.cha. Search all transcripts instead

7 matches in 7 utterances

28.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (59 utterances, 245 words searched).

Concordance Utterances Distribution Matched forms

what smells ? MOT · eng_USA_Brown/sarah084.cha, line 28 · Sarah 3;11
what d(o) ya mean +"/. MOT · eng_USA_Brown/sarah084.cha, line 75 · Sarah 3;11
+" what's [?] up # doc [?] ? MOT · eng_USA_Brown/sarah084.cha, line 100 · Sarah 3;11
what's up # doc . MEL · eng_USA_Brown/sarah084.cha, line 208 · Sarah 3;11
that what she needs . MEL · eng_USA_Brown/sarah084.cha, line 290 · Sarah 3;11
c(o)me (h)ere # what're you doin(g) ? MOT · eng_USA_Brown/sarah084.cha, line 298 · Sarah 3;11
what ! MOT · eng_USA_Brown/sarah084.cha, line 303 · Sarah 3;11

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

per 1,000 words

0102030

3;103;114;004;01

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/sarah084.cha	Sarah	3;11.09	245	7	7	28.57

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