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/sarah044.cha change

Searching only eng_USA_Brown/sarah044.cha. Search all transcripts instead

6 matches in 6 utterances

4.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

Concordance Utterances Distribution Matched forms

who likes it # too ? GLO · eng_USA_Brown/sarah044.cha, line 112 · Sarah 3;01
who knows how to ride a horsie ? GLO · eng_USA_Brown/sarah044.cha, line 967 · Sarah 3;01
who's that ? GLO · eng_USA_Brown/sarah044.cha, line 1000 · Sarah 3;01
who taught ya that ? MOT · eng_USA_Brown/sarah044.cha, line 1144 · Sarah 3;01
who's that ? MOT · eng_USA_Brown/sarah044.cha, line 1420 · Sarah 3;01
who gave you this ? MOT · eng_USA_Brown/sarah044.cha, line 1468 · Sarah 3;01

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

3;003;013;023;03

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/sarah044.cha	Sarah	3;1.10	1,262	6	6	4.75

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