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/sarah032.cha change

Searching only eng_USA_Brown/sarah032.cha. Search all transcripts instead

5 matches in 5 utterances

3.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,399 words searched).

Concordance Utterances Distribution Matched forms

what else are we gonna buy ? MOT · eng_USA_Brown/sarah032.cha, line 452 · Sarah 2;10
what are you gonna do with the cups ? MOT · eng_USA_Brown/sarah032.cha, line 466 · Sarah 2;10
your toe+toes are out . MOT · eng_USA_Brown/sarah032.cha, line 497 · Sarah 2;10
whose girl are you ? MOT · eng_USA_Brown/sarah032.cha, line 643 · Sarah 2;10
are you tired ? MOT · eng_USA_Brown/sarah032.cha, line 703 · Sarah 2;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

2;092;102;113;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/sarah032.cha	Sarah	2;10.05	1,399	5	5	3.57

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