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/sarah034.cha change

Searching only eng_USA_Brown/sarah034.cha. Search all transcripts instead

4 matches in 4 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,027 words searched).

Concordance Utterances Distribution Matched forms

you must be awful hungry this morning . MOT · eng_USA_Brown/sarah034.cha, line 137 · Sarah 2;10
well # it don't hurt any more (be)cause Mumma put the Mercurochrome on it . MOT · eng_USA_Brown/sarah034.cha, line 713 · Sarah 2;10
the tape'll be over in a few minutes . MOT · eng_USA_Brown/sarah034.cha, line 811 · Sarah 2;10
oh # that's (be)cause you were naughty # uhhuh . MOT · eng_USA_Brown/sarah034.cha, line 857 · Sarah 2;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

012345

2;092;102;113;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/sarah034.cha	Sarah	2;10.20	1,027	4	4	3.89

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