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/sarah082.cha change

Searching only eng_USA_Brown/sarah082.cha. Search all transcripts instead

5 matches in 5 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,486 words searched).

Concordance Utterances Distribution Matched forms

you should've left em over Nana's too # huh ? MOT · eng_USA_Brown/sarah082.cha, line 237 · Sarah 3;10
don't you think you should've left em over Nana's ? MOT · eng_USA_Brown/sarah082.cha, line 244 · Sarah 3;10
do over here . MOT · eng_USA_Brown/sarah082.cha, line 269 · Sarah 3;10
that you went outside the lines all over the place # huh ? MOT · eng_USA_Brown/sarah082.cha, line 309 · Sarah 3;10
Sarah # you got your back sunburned yesterday [//] # xxx over the weekend ? MOT · eng_USA_Brown/sarah082.cha, line 1175 · Sarah 3;10

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

3;093;103;114;00

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/sarah082.cha	Sarah	3;10.16	1,486	5	5	3.36

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