PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/becky31a.cha change

Searching only eng_british_Manchester_I/becky31a.cha. Search all transcripts instead

4 matches in 4 utterances

2.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

Concordance Utterances Distribution Matched forms

what do we say when we get two wobbly men ? MOT · eng_british_Manchester_I/becky31a.cha, line 957 · Becky 2;10
what do we say when they're the same ? MOT · eng_british_Manchester_I/becky31a.cha, line 1011 · Becky 2;10
do you have your mouth open when you're cross ? MOT · eng_british_Manchester_I/becky31a.cha, line 1058 · Becky 2;10
and what happens in snap when you get two cards the same ? MOT · eng_british_Manchester_I/becky31a.cha, line 1329 · Becky 2;10

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

per 1,000 words

0123

2;092;102;113;00

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_british_Manchester_I/becky31a.cha	Becky	2;10.25	1,418	4	4	2.82

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