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_USA_Brown/sarah109.cha change

Searching only eng_USA_Brown/sarah109.cha. Search all transcripts instead

5 matches in 5 utterances

5.39 per 1,000 words of the child (CHI), in 1 of 1 transcripts (266 utterances, 927 words searched).

Concordance Utterances Distribution Matched forms

I'm goin(g) write somethin(g) with it . CHI · eng_USA_Brown/sarah109.cha, line 102 · Sarah 4;05
<will you> [//] y(ou) know what I'm goin(g) make now ? CHI · eng_USA_Brown/sarah109.cha, line 385 · Sarah 4;05
<I get a> [//] y(ou) know what I'm goin(g) do now ? CHI · eng_USA_Brown/sarah109.cha, line 400 · Sarah 4;05
y(ou) know what I'm goin(g) make now ? CHI · eng_USA_Brown/sarah109.cha, line 447 · Sarah 4;05
I'm scribblin(g) . CHI · eng_USA_Brown/sarah109.cha, line 997 · Sarah 4;05

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

per 1,000 words

0246

4;044;054;064;07

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/sarah109.cha	Sarah	4;5.14	927	5	5	5.39

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