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_nat19b.cha change

Searching only french/lyon_nat19b.cha. Search all transcripts instead

5 matches in 3 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 2,098 words searched).

Concordance Utterances Distribution Matched forms

Nat [/] Nat [/] Nat touche pas à ça ! 766507_769142 FAT · french/lyon_nat19b.cha, line 794 · Nathan 1;10
<touche pas> [/] <touche pas> [/] touche pas Nanou . 1656810_1662038 MOT · french/lyon_nat19b.cha, line 1545 · Nathan 1;10
<touche pas> [/] <touche pas> [/] touche pas Nanou . 1656810_1662038 MOT · french/lyon_nat19b.cha, line 1545 · Nathan 1;10
<touche pas> [/] <touche pas> [/] touche pas Nanou . 1656810_1662038 MOT · french/lyon_nat19b.cha, line 1545 · Nathan 1;10
touche pas Jea . 1662867_1664633 MOT · french/lyon_nat19b.cha, line 1549 · Nathan 1;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

0123

1;091;101;112;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_nat19b.cha	Nathan	1;10.19	2,098	3	5	2.38

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