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/sarah051.cha change

Searching only eng_USA_Brown/sarah051.cha. Search all transcripts instead

9 matches in 7 utterances

6.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,375 words searched).

Concordance Utterances Distribution Matched forms

mmhm # there's a mirror . MOT · eng_USA_Brown/sarah051.cha, line 112 · Sarah 3;03
what do you see in the mirror ? KEN · eng_USA_Brown/sarah051.cha, line 125 · Sarah 3;03
do you live in the mirror too ? KEN · eng_USA_Brown/sarah051.cha, line 131 · Sarah 3;03
why don't ya say mirror mirror . MOT · eng_USA_Brown/sarah051.cha, line 135 · Sarah 3;03
why don't ya say mirror mirror . MOT · eng_USA_Brown/sarah051.cha, line 135 · Sarah 3;03
mirror mirror on +... MOT · eng_USA_Brown/sarah051.cha, line 140 · Sarah 3;03
mirror mirror on +... MOT · eng_USA_Brown/sarah051.cha, line 140 · Sarah 3;03
do you know what happens to you if you break a mirror ? KEN · eng_USA_Brown/sarah051.cha, line 209 · Sarah 3;03
hmm # what happens when you break a mirror ? MOT · eng_USA_Brown/sarah051.cha, line 212 · Sarah 3;03

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

per 1,000 words

02468

3;023;033;043;05

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/sarah051.cha	Sarah	3;3.07	1,375	7	9	6.55

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