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_II/nic32b.cha change

Searching only eng_british_Manchester_II/nic32b.cha. Search all transcripts instead

5 matches in 5 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (501 utterances, 2,056 words searched).

Concordance Utterances Distribution Matched forms

why aren't you being nice ? MOT · eng_british_Manchester_II/nic32b.cha, line 507 · Nicole 2;11
why're you being horrible ? MOT · eng_british_Manchester_II/nic32b.cha, line 509 · Nicole 2;11
are you being as awkward as you can ? MOT · eng_british_Manchester_II/nic32b.cha, line 1046 · Nicole 2;11
why're you being thoroughly miserable then ? MOT · eng_british_Manchester_II/nic32b.cha, line 1098 · Nicole 2;11
you just enjoy being thoroughly miserable , do you ? MOT · eng_british_Manchester_II/nic32b.cha, line 1103 · Nicole 2;11

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;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_II/nic32b.cha	Nicole	2;11.18	2,056	5	5	2.43

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