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_II/nic08b.cha change

Searching only eng_british_Manchester_II/nic08b.cha. Search all transcripts instead

5 matches in 5 utterances

2.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (592 utterances, 2,304 words searched).

Concordance Utterances Distribution Matched forms

is that her dress ? MOT · eng_british_Manchester_II/nic08b.cha, line 308 · Nicole 2;03
dress , is it ? MOT · eng_british_Manchester_II/nic08b.cha, line 326 · Nicole 2;03
this is a dress . MOT · eng_british_Manchester_II/nic08b.cha, line 328 · Nicole 2;03
that's dolly's dress , isn't it ? MOT · eng_british_Manchester_II/nic08b.cha, line 330 · Nicole 2;03
shall I dress him again ? MOT · eng_british_Manchester_II/nic08b.cha, line 1352 · Nicole 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

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_british_Manchester_II/nic08b.cha	Nicole	2;3.03	2,304	5	5	2.17

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