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/sarah072.cha change

Searching only eng_USA_Brown/sarah072.cha. Search all transcripts instead

5 matches in 4 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,274 words searched).

Concordance Utterances Distribution Matched forms

Anne wasn't there ? MOT · eng_USA_Brown/sarah072.cha, line 1101 · Sarah 3;08
was it # did you see Anne yesterday ? MOT · eng_USA_Brown/sarah072.cha, line 1103 · Sarah 3;08
with Anne Marie ? MOT · eng_USA_Brown/sarah072.cha, line 1110 · Sarah 3;08
you and Sandra (a)n(d) Diane (a)n(d) Anne (a)n(d) Anne Marie (a)n(d) Donna +... MOT · eng_USA_Brown/sarah072.cha, line 1238 · Sarah 3;08
you and Sandra (a)n(d) Diane (a)n(d) Anne (a)n(d) Anne Marie (a)n(d) Donna +... MOT · eng_USA_Brown/sarah072.cha, line 1238 · Sarah 3;08

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;073;083;093;10

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/sarah072.cha	Sarah	3;8.06	1,274	4	5	3.92

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