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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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah108.cha change

Searching only eng_USA_Brown/sarah108.cha. Search all transcripts instead

5 matches in 5 utterances

5.84 per 1,000 words of the child (CHI), in 1 of 1 transcripts (262 utterances, 856 words searched).

Concordance Utterances Distribution Matched forms

know what I'm goin(g) make today ? CHI · eng_USA_Brown/sarah108.cha, line 72 · Sarah 4;05
(a)n(d) you know what I already got for Christmas ? CHI · eng_USA_Brown/sarah108.cha, line 228 · Sarah 4;05
y(ou) know what I'm gonna do with it now ? CHI · eng_USA_Brown/sarah108.cha, line 471 · Sarah 4;05
you know what's my name is ? CHI · eng_USA_Brown/sarah108.cha, line 1083 · Sarah 4;05
(a)n(d) um # y(ou) know what I do funny things ? CHI · eng_USA_Brown/sarah108.cha, line 1097 · 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

02468

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/sarah108.cha	Sarah	4;5.08	856	5	5	5.84

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