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_british_Manchester_I/becky30a.cha change

Searching only eng_british_Manchester_I/becky30a.cha. Search all transcripts instead

5 matches in 5 utterances

4.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (334 utterances, 1,226 words searched).

Concordance Utterances Distribution Matched forms

she's just had a bath , Becky . MOT · eng_british_Manchester_I/becky30a.cha, line 187 · Becky 2;10
she had a pretend wash in the bath . MOT · eng_british_Manchester_I/becky30a.cha, line 194 · Becky 2;10
she had a pretend wash in the bath . MOT · eng_british_Manchester_I/becky30a.cha, line 199 · Becky 2;10
had a crash , have they ? MOT · eng_british_Manchester_I/becky30a.cha, line 672 · Becky 2;10
have they had a crash ? MOT · eng_british_Manchester_I/becky30a.cha, line 678 · Becky 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_british_Manchester_I/becky30a.cha	Becky	2;10.12	1,226	5	5	4.08

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