PHPCLANCHILDES with regular expressions

Regular expression

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The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_II/joel32a.cha change

Searching only eng_british_Manchester_II/joel32a.cha. Search all transcripts instead

6 matches in 6 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (491 utterances, 1,732 words searched).

Concordance Utterances Distribution Matched forms

and who's that then ? MOT · eng_british_Manchester_II/joel32a.cha, line 577 · Joel 2;09
and who's those [= actually said them] on the back , look . MOT · eng_british_Manchester_II/joel32a.cha, line 902 · Joel 2;09
who's on these trains ? MOT · eng_british_Manchester_II/joel32a.cha, line 1215 · Joel 2;09
who's that ? MOT · eng_british_Manchester_II/joel32a.cha, line 1241 · Joel 2;09
who's that ? MOT · eng_british_Manchester_II/joel32a.cha, line 1312 · Joel 2;09
who's the man [/] man who was cleaning the corridor ? MOT · eng_british_Manchester_II/joel32a.cha, line 1669 · Joel 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

01234

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_british_Manchester_II/joel32a.cha	Joel	2;9.20	1,732	6	6	3.46

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