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/carl06a.cha change

Searching only eng_british_Manchester_I/carl06a.cha. Search all transcripts instead

6 matches in 6 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (456 utterances, 1,787 words searched).

Concordance Utterances Distribution Matched forms

you like doing that , don't you ? MOT · eng_british_Manchester_I/carl06a.cha, line 334 · Carl 1;10
does that look like a monkey ? MOT · eng_british_Manchester_I/carl06a.cha, line 575 · Carl 1;10
yeah it looks like Bert, doesn't it ? MOT · eng_british_Manchester_I/carl06a.cha, line 859 · Carl 1;10
it does look a bit like a seesaw . MOT · eng_british_Manchester_I/carl06a.cha, line 1156 · Carl 1;10
there's lots of things in here you like Carl . MOT · eng_british_Manchester_I/carl06a.cha, line 1438 · Carl 1;10
oh it goes like that . MOT · eng_british_Manchester_I/carl06a.cha, line 1533 · Carl 1;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

01234

1;091;101;112;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/carl06a.cha	Carl	1;10.19	1,787	6	6	3.36

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