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/sarah078.cha change

Searching only eng_USA_Brown/sarah078.cha. Search all transcripts instead

4 matches in 4 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,370 words searched).

Concordance Utterances Distribution Matched forms

<we're going to go over (a)n(d) have> [//] # I'm goin(g) to the lady (a)n(d) see about your costumes . MOT · eng_USA_Brown/sarah078.cha, line 245 · Sarah 3;09
this lady lives way off . MOT · eng_USA_Brown/sarah078.cha, line 258 · Sarah 3;09
the lady gave them to me for you # to eat . MOT · eng_USA_Brown/sarah078.cha, line 606 · Sarah 3;09
why can't you act like a little lady and be quiet # (a)n(d) be nice . MOT · eng_USA_Brown/sarah078.cha, line 921 · Sarah 3;09

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

per 1,000 words

01234

3;083;093;103;11

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/sarah078.cha	Sarah	3;9.26	1,370	4	4	2.92

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