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/becky32a.cha change

Searching only eng_british_Manchester_I/becky32a.cha. Search all transcripts instead

5 matches in 5 utterances

4.54 per 1,000 words of the child (CHI), in 1 of 1 transcripts (404 utterances, 1,101 words searched).

Concordance Utterances Distribution Matched forms

is there another piece ? CHI · eng_british_Manchester_I/becky32a.cha, line 831 · Becky 2;11
is there another bit . CHI · eng_british_Manchester_I/becky32a.cha, line 859 · Becky 2;11
is there another piece ? CHI · eng_british_Manchester_I/becky32a.cha, line 934 · Becky 2;11
is there another moo for there ? CHI · eng_british_Manchester_I/becky32a.cha, line 1425 · Becky 2;11
is there another moo ? CHI · eng_british_Manchester_I/becky32a.cha, line 1429 · Becky 2;11

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

per 1,000 words

012345

2;102;113;003;01

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/becky32a.cha	Becky	2;11.01	1,101	5	5	4.54

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