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

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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah003.cha change

Searching only eng_USA_Brown/sarah003.cha. Search all transcripts instead

6 matches in 6 utterances

4.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,248 words searched).

Concordance Utterances Distribution Matched forms

Ann_Marie hasn't got tuba # Nana has tuba . MOT · eng_USA_Brown/sarah003.cha, line 1619 · Sarah 2;03
he has a tail . FAT · eng_USA_Brown/sarah003.cha, line 1682 · Sarah 2;03
has the bear got a tail ? FAT · eng_USA_Brown/sarah003.cha, line 1713 · Sarah 2;03
has the bear got a tail ? FAT · eng_USA_Brown/sarah003.cha, line 1715 · Sarah 2;03
has the bear got a tail ? MOT · eng_USA_Brown/sarah003.cha, line 1730 · Sarah 2;03
has the bear got a tail ? MOT · eng_USA_Brown/sarah003.cha, line 1732 · Sarah 2;03

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

per 1,000 words

0246

2;022;032;042;05

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/sarah003.cha	Sarah	2;3.19	1,248	6	6	4.81

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