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/sarah087.cha change

Searching only eng_USA_Brown/sarah087.cha. Search all transcripts instead

5 matches in 5 utterances

3.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,319 words searched).

Concordance Utterances Distribution Matched forms

want some tonic ? MOT · eng_USA_Brown/sarah087.cha, line 790 · Sarah 4;00
you don't want any tonic ? MOT · eng_USA_Brown/sarah087.cha, line 796 · Sarah 4;00
want grape tonic ? MOT · eng_USA_Brown/sarah087.cha, line 800 · Sarah 4;00
do you like grape tonic ? MOT · eng_USA_Brown/sarah087.cha, line 845 · Sarah 4;00
sit up now (a)n(d) drink your tonic . MOT · eng_USA_Brown/sarah087.cha, line 1172 · Sarah 4;00

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;114;004;014;02

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/sarah087.cha	Sarah	4;0.05	1,319	5	5	3.79

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