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/sarah068.cha change

Searching only eng_USA_Brown/sarah068.cha. Search all transcripts instead

6 matches in 5 utterances

5.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (296 utterances, 1,144 words searched).

Concordance Utterances Distribution Matched forms

<climb up> [//] # come up here . MOT · eng_USA_Brown/sarah068.cha, line 211 · Sarah 3;07
<climb up> [//] # come up here . MOT · eng_USA_Brown/sarah068.cha, line 211 · Sarah 3;07
gettin(g) up in the world . MOT · eng_USA_Brown/sarah068.cha, line 336 · Sarah 3;07
uhuh # don't put your feet up there . MOT · eng_USA_Brown/sarah068.cha, line 488 · Sarah 3;07
make up your mind . MOT · eng_USA_Brown/sarah068.cha, line 976 · Sarah 3;07
wrap her up . FAT · eng_USA_Brown/sarah068.cha, line 1049 · Sarah 3;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

0246

3;063;073;083;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/sarah068.cha	Sarah	3;7.09	1,144	5	6	5.24

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