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/sarah131.cha change

Searching only eng_USA_Brown/sarah131.cha. Search all transcripts instead

5 matches in 4 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,658 words searched).

Concordance Utterances Distribution Matched forms

she's a miss # like you . MOT · eng_USA_Brown/sarah131.cha, line 1351 · Sarah 4;11
remember last night about the Miss and the Mrs well # Gail's a Miss just like you . MOT · eng_USA_Brown/sarah131.cha, line 1353 · Sarah 4;11
remember last night about the Miss and the Mrs well # Gail's a Miss just like you . MOT · eng_USA_Brown/sarah131.cha, line 1353 · Sarah 4;11
Miss # yeah . MOT · eng_USA_Brown/sarah131.cha, line 1362 · Sarah 4;11
you're Miss Sarah Barnes and I'm Mrs and Melissa is Mrs . MOT · eng_USA_Brown/sarah131.cha, line 1364 · Sarah 4;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

4;104;115;005;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/sarah131.cha	Sarah	4;11.13	1,658	4	5	3.02

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