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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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/anne21a.cha change

Searching only eng_british_Manchester_I/anne21a.cha. Search all transcripts instead

4 matches in 4 utterances

2.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 1,656 words searched).

Concordance Utterances Distribution Matched forms

I'm gonna [: going to] count the cows now . MOT · eng_british_Manchester_I/anne21a.cha, line 1041 · Anne 2;05
let's see how many cows we've got . MOT · eng_british_Manchester_I/anne21a.cha, line 1043 · Anne 2;05
two cows . MOT · eng_british_Manchester_I/anne21a.cha, line 1052 · Anne 2;05
have you got some baby cows ? MOT · eng_british_Manchester_I/anne21a.cha, line 1054 · Anne 2;05

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;042;052;062;07

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/anne21a.cha	Anne	2;5.02	1,656	4	4	2.42

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