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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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/anne15a.cha change

Searching only eng_british_Manchester_I/anne15a.cha. Search all transcripts instead

5 matches in 5 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,847 words searched).

Concordance Utterances Distribution Matched forms

those ones haven't got a spoon ? MOT · eng_british_Manchester_I/anne15a.cha, line 393 · Anne 2;03
you've got too many different things here ,, haven't you ? MOT · eng_british_Manchester_I/anne15a.cha, line 645 · Anne 2;03
and we haven't got one here ,, have we ? MOT · eng_british_Manchester_I/anne15a.cha, line 984 · Anne 2;03
we haven't got any plates , Anne . MOT · eng_british_Manchester_I/anne15a.cha, line 1260 · Anne 2;03
haven't you got any yoghurt ? MOT · eng_british_Manchester_I/anne15a.cha, line 1524 · Anne 2;03

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0123

2;022;032;042;05

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/anne15a.cha	Anne	2;3.01	1,847	5	5	2.71

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