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: french/lyon_nat25b.cha change

Searching only french/lyon_nat25b.cha. Search all transcripts instead

7 matches in 6 utterances

97.22 per 1,000 words of the child (CHI), in 1 of 1 transcripts (79 utterances, 72 words searched).

Concordance Utterances Distribution Matched forms

<veux pas papa> [/] veux pas papa ! 168203_173328 CHI · french/lyon_nat25b.cha, line 139 · Nathan 2;10
<veux pas papa> [/] veux pas papa ! 168203_173328 CHI · french/lyon_nat25b.cha, line 139 · Nathan 2;10
veux pas ‹papa [= ! rie]› ! 173328_176860 CHI · french/lyon_nat25b.cha, line 144 · Nathan 2;10
papa ! 176860_178667 CHI · french/lyon_nat25b.cha, line 148 · Nathan 2;10
papa ! 178667_180508 CHI · french/lyon_nat25b.cha, line 152 · Nathan 2;10
papa . 296247_301487 CHI · french/lyon_nat25b.cha, line 236 · Nathan 2;10
yyy papa yyy . 363228_373845 CHI · french/lyon_nat25b.cha, line 252 · Nathan 2;10

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

per 1,000 words

0255075100125

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_nat25b.cha	Nathan	2;10.23	72	6	7	97.22

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