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/sarah037.cha change

Searching only eng_USA_Brown/sarah037.cha. Search all transcripts instead

6 matches in 6 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 1,851 words searched).

Concordance Utterances Distribution Matched forms

now she looks better . MOT · eng_USA_Brown/sarah037.cha, line 270 · Sarah 2;11
alright now # she'll stand up here and you comb her hair . MOT · eng_USA_Brown/sarah037.cha, line 274 · Sarah 2;11
don't touch it now . MOT · eng_USA_Brown/sarah037.cha, line 622 · Sarah 2;11
that's you now ! MOT · eng_USA_Brown/sarah037.cha, line 807 · Sarah 2;11
I've got your leg now # haven't I . FAT · eng_USA_Brown/sarah037.cha, line 1986 · Sarah 2;11
now +... FAT · eng_USA_Brown/sarah037.cha, line 2349 · 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

01234

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/sarah037.cha	Sarah	2;11.17	1,851	6	6	3.24

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