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/sarah027.cha change

Searching only eng_USA_Brown/sarah027.cha. Search all transcripts instead

3 matches in 3 utterances

2.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

Concordance Utterances Distribution Matched forms

<tell her> [//] oh # we got your new shoes yesterday but they were too small . MOT · eng_USA_Brown/sarah027.cha, line 530 · Sarah 2;09
Sarah # what happened to you yesterday ? GLO · eng_USA_Brown/sarah027.cha, line 1074 · Sarah 2;09
who took you to the doctor yesterday ? MOT · eng_USA_Brown/sarah027.cha, line 1233 · Sarah 2;09

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;082;092;10

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/sarah027.cha	Sarah	2;9.	1,245	3	3	2.41

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