PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/anne32a.cha change

Searching only eng_british_Manchester_I/anne32a.cha. Search all transcripts instead

7 matches in 5 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 2,381 words searched).

Concordance Utterances Distribution Matched forms

that's her hat . MOT · eng_british_Manchester_I/anne32a.cha, line 1802 · Anne 2;08
you wipe her eyes ? MOT · eng_british_Manchester_I/anne32a.cha, line 1882 · Anne 2;08
what's made her cry ? MOT · eng_british_Manchester_I/anne32a.cha, line 1884 · Anne 2;08
she bumped her head ? MOT · eng_british_Manchester_I/anne32a.cha, line 1915 · Anne 2;08
she's <wiping her dress> [//] wiping her eyes on her dress ? MOT · eng_british_Manchester_I/anne32a.cha, line 1936 · Anne 2;08
she's <wiping her dress> [//] wiping her eyes on her dress ? MOT · eng_british_Manchester_I/anne32a.cha, line 1936 · Anne 2;08
she's <wiping her dress> [//] wiping her eyes on her dress ? MOT · eng_british_Manchester_I/anne32a.cha, line 1936 · Anne 2;08

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;072;082;092;10

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_I/anne32a.cha	Anne	2;8.26	2,381	5	7	2.94

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