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_Brown/sarah022.cha change

Searching only eng_USA_Brown/sarah022.cha. Search all transcripts instead

7 matches in 7 utterances

10.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (201 utterances, 692 words searched).

Concordance Utterances Distribution Matched forms

say yes or no . MOT · eng_USA_Brown/sarah022.cha, line 29 · Sarah 2;07
whyn't [: why don't] you say your piece for Cour(tney) [//] # for # uh # Gloria . MOT · eng_USA_Brown/sarah022.cha, line 127 · Sarah 2;07
Sarah # what's the doggie say ? MOT · eng_USA_Brown/sarah022.cha, line 632 · Sarah 2;07
no # what does he say ? MOT · eng_USA_Brown/sarah022.cha, line 636 · Sarah 2;07
and what does the kitty say ? MOT · eng_USA_Brown/sarah022.cha, line 641 · Sarah 2;07
and what does the pig say ? MOT · eng_USA_Brown/sarah022.cha, line 645 · Sarah 2;07
and # what does the duckie say ? MOT · eng_USA_Brown/sarah022.cha, line 659 · Sarah 2;07

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

per 1,000 words

03581013

2;062;072;082;09

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_Brown/sarah022.cha	Sarah	2;7.18	692	7	7	10.12

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