PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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/sarah082.cha change

Searching only eng_USA_Brown/sarah082.cha. Search all transcripts instead

4 matches in 3 utterances

4.34 per 1,000 words of the child (CHI), in 1 of 1 transcripts (274 utterances, 922 words searched).

Concordance Utterances Distribution Matched forms

I made a xxx . CHI · eng_USA_Brown/sarah082.cha, line 303 · Sarah 3;10
we made a # pig +... CHI · eng_USA_Brown/sarah082.cha, line 360 · Sarah 3;10
<I made a> [/] # I made a # big pig tail # (a)n(d) I'm make a bigger tail . CHI · eng_USA_Brown/sarah082.cha, line 364 · Sarah 3;10
<I made a> [/] # I made a # big pig tail # (a)n(d) I'm make a bigger tail . CHI · eng_USA_Brown/sarah082.cha, line 364 · Sarah 3;10

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

per 1,000 words

012345

3;093;103;114;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_USA_Brown/sarah082.cha	Sarah	3;10.16	922	3	4	4.34

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