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/sarah028.cha change

Searching only eng_USA_Brown/sarah028.cha. Search all transcripts instead

5 matches in 5 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

Concordance Utterances Distribution Matched forms

make a doggie ? MOT · eng_USA_Brown/sarah028.cha, line 130 · Sarah 2;09
that's a doggie . MOT · eng_USA_Brown/sarah028.cha, line 153 · Sarah 2;09
are you sure that you don't mean the [//] the doggie's name is # uh # Tippy ? MOT · eng_USA_Brown/sarah028.cha, line 301 · Sarah 2;09
the doggie's name is Tippy . MOT · eng_USA_Brown/sarah028.cha, line 308 · Sarah 2;09
your doggie what ? MOT · eng_USA_Brown/sarah028.cha, line 974 · 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

012345

2;082;092;102;11

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/sarah028.cha	Sarah	2;9.06	1,149	5	5	4.35

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