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/sarah038.cha change

Searching only eng_USA_Brown/sarah038.cha. Search all transcripts instead

6 matches in 6 utterances

6.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

Concordance Utterances Distribution Matched forms

bring them out here and make me a cake . MOT · eng_USA_Brown/sarah038.cha, line 266 · Sarah 2;11
oh # how do you make a cake ? COU · eng_USA_Brown/sarah038.cha, line 325 · Sarah 2;11
just one cake ? MOT · eng_USA_Brown/sarah038.cha, line 767 · Sarah 2;11
oh # blue cake # huh . MOT · eng_USA_Brown/sarah038.cha, line 773 · Sarah 2;11
we have blue cake and orange cheese . MOT · eng_USA_Brown/sarah038.cha, line 775 · Sarah 2;11
oh # that the cake ? MOT · eng_USA_Brown/sarah038.cha, line 785 · Sarah 2;11

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

per 1,000 words

02468

2;102;113;003;01

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/sarah038.cha	Sarah	2;11.23	985	6	6	6.09

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