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_british_Manchester_II/nic19b.cha change

Searching only eng_british_Manchester_II/nic19b.cha. Search all transcripts instead

5 matches in 5 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (496 utterances, 1,940 words searched).

Concordance Utterances Distribution Matched forms

which shops have you been to ? MOT · eng_british_Manchester_II/nic19b.cha, line 295 · Nicole 2;07
which shops have you been to ? MOT · eng_british_Manchester_II/nic19b.cha, line 303 · Nicole 2;07
which shops have you been to ? MOT · eng_british_Manchester_II/nic19b.cha, line 309 · Nicole 2;07
which is the cat+food then ? MOT · eng_british_Manchester_II/nic19b.cha, line 441 · Nicole 2;07
which is the cat+food ? MOT · eng_british_Manchester_II/nic19b.cha, line 443 · Nicole 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

0123

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_british_Manchester_II/nic19b.cha	Nicole	2;7.06	1,940	5	5	2.58

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