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/sarah038.cha change

Searching only eng_USA_Brown/sarah038.cha. Search all transcripts instead

6 matches in 6 utterances

6.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

Concordance Utterances Distribution Matched forms

what have you got ? COU · eng_USA_Brown/sarah038.cha, line 281 · Sarah 2;11
did you have fun ? MOT · eng_USA_Brown/sarah038.cha, line 377 · Sarah 2;11
yeah # I'll have some more . MOT · eng_USA_Brown/sarah038.cha, line 509 · Sarah 2;11
now what else have you got ? MOT · eng_USA_Brown/sarah038.cha, line 648 · Sarah 2;11
we have blue cake and orange cheese . MOT · eng_USA_Brown/sarah038.cha, line 775 · Sarah 2;11
well # you don't have any toys . MOT · eng_USA_Brown/sarah038.cha, line 979 · Sarah 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

02468

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_USA_Brown/sarah038.cha	Sarah	2;11.23	985	6	6	6.09

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