PHPCLANCHILDES with regular expressions

Regular expression

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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_british_Manchester_I/becky05a.cha change

Searching only eng_british_Manchester_I/becky05a.cha. Search all transcripts instead

5 matches in 5 utterances

2.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (573 utterances, 2,275 words searched).

Concordance Utterances Distribution Matched forms

look , some cakes here . MOT · eng_british_Manchester_I/becky05a.cha, line 1125 · Becky 2;01
what are these on top of the cakes ? MOT · eng_british_Manchester_I/becky05a.cha, line 1127 · Becky 2;01
and who makes you cakes with cherrys on ? MOT · eng_british_Manchester_I/becky05a.cha, line 1136 · Becky 2;01
who makes cakes with cherrys on ? MOT · eng_british_Manchester_I/becky05a.cha, line 1141 · Becky 2;01
do you like Grandma's cakes ? MOT · eng_british_Manchester_I/becky05a.cha, line 1151 · Becky 2;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

0.00.51.01.52.02.5

2;002;012;022;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_british_Manchester_I/becky05a.cha	Becky	2;1.24	2,275	5	5	2.20

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