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/sarah023.cha change

Searching only eng_USA_Brown/sarah023.cha. Search all transcripts instead

5 matches in 5 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (336 utterances, 1,231 words searched).

Concordance Utterances Distribution Matched forms

tell me all about your new shoes . MOT · eng_USA_Brown/sarah023.cha, line 124 · Sarah 2;07
<what's a> [//] # what do you call them # your new what ? MOT · eng_USA_Brown/sarah023.cha, line 128 · Sarah 2;07
you see your new book ? MOT · eng_USA_Brown/sarah023.cha, line 747 · Sarah 2;07
a new book ! MOT · eng_USA_Brown/sarah023.cha, line 761 · Sarah 2;07
a new present # yeah . MOT · eng_USA_Brown/sarah023.cha, line 807 · Sarah 2;07

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

per 1,000 words

012345

2;062;072;082;09

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/sarah023.cha	Sarah	2;7.28	1,231	5	5	4.06

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