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: french/lyon_nat06b.cha change

Searching only french/lyon_nat06b.cha. Search all transcripts instead

4 matches in 2 utterances

5.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 778 words searched).

Concordance Utterances Distribution Matched forms

nage [/] <nage si tu bois le potage (.) si tu bois le bouillon c'est bon mais si tu bois xxx xx… MOT · french/lyon_nat06b.cha, line 65 · Nathan 1;02
nage [/] <nage si tu bois le potage (.) si tu bois le bouillon c'est bon mais si tu bois xxx xxx> [/] www [= ! chantonne… MOT · french/lyon_nat06b.cha, line 65 · Nathan 1;02
… si tu bois le potage (.) si tu bois le bouillon c'est bon mais si tu bois xxx xxx> [/] www [= ! chantonne] . 113108_126625 MOT · french/lyon_nat06b.cha, line 65 · Nathan 1;02
<si tu bois le potage> [= ! chante] . 151705_168600 MOT · french/lyon_nat06b.cha, line 78 · Nathan 1;02

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

1;011;021;031;04

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_nat06b.cha	Nathan	1;2.26	778	2	4	5.14

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