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_nat39b.cha change

Searching only french/lyon_nat39b.cha. Search all transcripts instead

4 matches in 4 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (417 utterances, 1,600 words searched).

Concordance Utterances Distribution Matched forms

j'ai pas l(e) droit d(e) chanter ! 27625_38000 MOT · french/lyon_nat39b.cha, line 54 · Nathan 2;09
et pourquoi que j'ai pas l(e) droit d(e) chanter ? MOT · french/lyon_nat39b.cha, line 57 · Nathan 2;09
qu'est-ce (que) tu vas nous chanter aujourd'hui Nanou ? 1500828_1505295 MOT · french/lyon_nat39b.cha, line 1803 · Nathan 2;09
tu vas m(e) chanter une chanson ? 1511365_1514183 MOT · french/lyon_nat39b.cha, line 1813 · Nathan 2;09

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

2;082;092;102;11

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_nat39b.cha	Nathan	2;9.7	1,600	4	4	2.50

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