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_USA_Bloom/peter11.cha change

Searching only eng_USA_Bloom/peter11.cha. Search all transcripts instead

6 matches in 4 utterances

2.31 per 1,000 words of the child (CHI), in 1 of 1 transcripts (1,003 utterances, 2,599 words searched).

Concordance Utterances Distribution Matched forms

a wheel they are broken . CHI · eng_USA_Bloom/peter11.cha, line 2436 · Peter 2;03
the wheel . CHI · eng_USA_Bloom/peter11.cha, line 2581 · Peter 2;03
where the wheel # where the wheel # where's a wheel . CHI · eng_USA_Bloom/peter11.cha, line 3757 · Peter 2;03
where the wheel # where the wheel # where's a wheel . CHI · eng_USA_Bloom/peter11.cha, line 3757 · Peter 2;03
where the wheel # where the wheel # where's a wheel . CHI · eng_USA_Bloom/peter11.cha, line 3757 · Peter 2;03
there's a wheel tire # there's a tire Mommy # ok . CHI · eng_USA_Bloom/peter11.cha, line 3779 · Peter 2;03

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

per 1,000 words

0.00.51.01.52.02.5

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_USA_Bloom/peter11.cha	Peter	2;3.24	2,599	4	6	2.31

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