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_nat05a.cha change

Searching only french/lyon_nat05a.cha. Search all transcripts instead

4 matches in 4 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (390 utterances, 1,473 words searched).

Concordance Utterances Distribution Matched forms

où est-ce qu'elles sont ces boules ! 17227_19363 MOT · french/lyon_nat05a.cha, line 34 · Nathan 1;02
où est-ce qu'elles sont les www [= ! li] autres ? 28368_35305 MOT · french/lyon_nat05a.cha, line 52 · Nathan 1;02
tu sais où est-ce qu'elles sont Jea ? MOT · french/lyon_nat05a.cha, line 55 · Nathan 1;02
où est-ce qu'elles sont alors ? 97410_99683 MOT · french/lyon_nat05a.cha, line 115 · 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

0123

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_nat05a.cha	Nathan	1;2.14	1,473	4	4	2.72

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