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/nic32a.cha change

Searching only eng_british_Manchester_II/nic32a.cha. Search all transcripts instead

6 matches in 6 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,836 words searched).

Concordance Utterances Distribution Matched forms

what's the weather doing today , Nicole ? MOT · eng_british_Manchester_II/nic32a.cha, line 431 · Nicole 2;11
what's in that pan then ? MOT · eng_british_Manchester_II/nic32a.cha, line 972 · Nicole 2;11
what's the matter ? MOT · eng_british_Manchester_II/nic32a.cha, line 1238 · Nicole 2;11
what's the matter then ? MOT · eng_british_Manchester_II/nic32a.cha, line 1386 · Nicole 2;11
what's the matter then ? MOT · eng_british_Manchester_II/nic32a.cha, line 1388 · Nicole 2;11
what's the bird called ? MOT · eng_british_Manchester_II/nic32a.cha, line 1441 · Nicole 2;11

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

per 1,000 words

01234

2;102;113;003;01

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/nic32a.cha	Nicole	2;11.18	1,836	6	6	3.27

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