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/sarah035.cha change

Searching only eng_USA_Brown/sarah035.cha. Search all transcripts instead

5 matches in 5 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 1,954 words searched).

Concordance Utterances Distribution Matched forms

those are your clean new shoes . MOT · eng_USA_Brown/sarah035.cha, line 421 · Sarah 2;10
did Sarah help with the shoes ? GLO · eng_USA_Brown/sarah035.cha, line 430 · Sarah 2;10
did you help Mummy with the shoes ? GLO · eng_USA_Brown/sarah035.cha, line 432 · Sarah 2;10
who ties your shoes ? FAT · eng_USA_Brown/sarah035.cha, line 1437 · Sarah 2;10
can't you tie your shoes ? FAT · eng_USA_Brown/sarah035.cha, line 1445 · Sarah 2;10

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

2;092;102;113;00

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/sarah035.cha	Sarah	2;10.24	1,954	5	5	2.56

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