PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah120.cha change

Searching only eng_USA_Brown/sarah120.cha. Search all transcripts instead

4 matches in 4 utterances

3.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

Concordance Utterances Distribution Matched forms

well # do you want me to cut a little piece out like this # and then you can cut from there… MEL · eng_USA_Brown/sarah120.cha, line 451 · Sarah 4;08
le(t) me find the other scissors . MOT · eng_USA_Brown/sarah120.cha, line 522 · Sarah 4;08
don't ask me . MOT · eng_USA_Brown/sarah120.cha, line 841 · Sarah 4;08
you're cuttin(g) it # not me . MOT · eng_USA_Brown/sarah120.cha, line 845 · Sarah 4;08

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;074;084;094;10

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/sarah120.cha	Sarah	4;8.07	1,054	4	4	3.80

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