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/sarah045.cha change

Searching only eng_USA_Brown/sarah045.cha. Search all transcripts instead

4 matches in 4 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

Concordance Utterances Distribution Matched forms

no # what did I buy you yesterday ? MOT · eng_USA_Brown/sarah045.cha, line 213 · Sarah 3;01
in the five and ten # what did we buy ? MOT · eng_USA_Brown/sarah045.cha, line 219 · Sarah 3;01
<wha(t) tha(t)> [//] # <wha(t)> [/] wha(t)'d I buy ? MOT · eng_USA_Brown/sarah045.cha, line 225 · Sarah 3;01
no # did you buy crayons ? MOT · eng_USA_Brown/sarah045.cha, line 234 · Sarah 3;01

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0123

3;003;013;023;03

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/sarah045.cha	Sarah	3;1.17	1,422	4	4	2.81

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