PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat25a.cha change

Searching only french/lyon_nat25a.cha. Search all transcripts instead

7 matches in 5 utterances

5.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,277 words searched).

Concordance Utterances Distribution Matched forms

vas_y [/] vas_y [/] vas_y . MOT · french/lyon_nat25a.cha, line 179 · Nathan 2;10
vas_y [/] vas_y [/] vas_y . MOT · french/lyon_nat25a.cha, line 179 · Nathan 2;10
vas_y [/] vas_y [/] vas_y . MOT · french/lyon_nat25a.cha, line 179 · Nathan 2;10
vas_y . MOT · french/lyon_nat25a.cha, line 196 · Nathan 2;10
vas_y . MOT · french/lyon_nat25a.cha, line 219 · Nathan 2;10
vas_y . 1064975_1079210 MOT · french/lyon_nat25a.cha, line 841 · Nathan 2;10
vas_y . MOT · french/lyon_nat25a.cha, line 999 · Nathan 2;10

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

per 1,000 words

0246

2;092;102;113;00

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
french/lyon_nat25a.cha	Nathan	2;10.23	1,277	5	7	5.48

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