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/sarah097.cha change

Searching only eng_USA_Brown/sarah097.cha. Search all transcripts instead

5 matches in 5 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

Concordance Utterances Distribution Matched forms

Mighty_Mouse soup ? GAI · eng_USA_Brown/sarah097.cha, line 154 · Sarah 4;02
duck soup . ANN · eng_USA_Brown/sarah097.cha, line 160 · Sarah 4;02
that's Donald_Duck soup . MOT · eng_USA_Brown/sarah097.cha, line 162 · Sarah 4;02
it's Mighty_White toothpaste and Donald_Duck soup . MOT · eng_USA_Brown/sarah097.cha, line 164 · Sarah 4;02
Donald_Duck soup . MOT · eng_USA_Brown/sarah097.cha, line 169 · Sarah 4;02

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;014;024;034;04

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/sarah097.cha	Sarah	4;2.23	1,466	5	5	3.41

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