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/eve09.cha change

Searching only eng_USA_Brown/eve09.cha. Search all transcripts instead

6 matches in 6 utterances

3.99 per 1,000 words of the child (CHI), in 1 of 1 transcripts (513 utterances, 1,505 words searched).

Concordance Utterances Distribution Matched forms

sponge . CHI · eng_USA_Brown/eve09.cha, line 179 · Eve 1;10
that my sponge . CHI · eng_USA_Brown/eve09.cha, line 227 · Eve 1;10
where happe(ned) my sponge ? CHI · eng_USA_Brown/eve09.cha, line 1296 · Eve 1;10
happe(ned) my sponge # Fraser ? CHI · eng_USA_Brown/eve09.cha, line 1299 · Eve 1;10
oh # my sponge I can't find it . CHI · eng_USA_Brown/eve09.cha, line 1308 · Eve 1;10
happened my sponge # Fraser ? CHI · eng_USA_Brown/eve09.cha, line 1312 · Eve 1;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

1;091;101;11

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/eve09.cha	Eve	1;10.	1,505	6	6	3.99

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