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_USA_Brown/sarah039.cha change

Searching only eng_USA_Brown/sarah039.cha. Search all transcripts instead

7 matches in 7 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

Concordance Utterances Distribution Matched forms

who's coming to your party ? COU · eng_USA_Brown/sarah039.cha, line 162 · Sarah 2;11
who's Arthur ? GRA · eng_USA_Brown/sarah039.cha, line 247 · Sarah 2;11
<who's Arthur> [?] ? GRA · eng_USA_Brown/sarah039.cha, line 259 · Sarah 2;11
<who's Arthur> [<] ? MOT · eng_USA_Brown/sarah039.cha, line 261 · Sarah 2;11
who's he ? MOT · eng_USA_Brown/sarah039.cha, line 434 · Sarah 2;11
what's that one on the floor # who's he ? MOT · eng_USA_Brown/sarah039.cha, line 589 · Sarah 2;11
who's gonna sit in the chair ? COU · eng_USA_Brown/sarah039.cha, line 743 · 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

0246810

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/sarah039.cha	Sarah	2;11.30	859	7	7	8.15

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