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_tim19b.cha change

Searching only french/lyon_tim19b.cha. Search all transcripts instead

5 matches in 5 utterances

2.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (535 utterances, 2,233 words searched).

Concordance Utterances Distribution Matched forms

tu veux couper ? 665942_668727 MOT · french/lyon_tim19b.cha, line 867 · Tim 1;09
tu veux couper ton poulet ? 668727_670780 MOT · french/lyon_tim19b.cha, line 873 · Tim 1;09
<et on peut couper> [<] l'autre . 981352_984882 MOT · french/lyon_tim19b.cha, line 1254 · Tim 1;09
tu veux couper ? 1149430_1150858 MOT · french/lyon_tim19b.cha, line 1495 · Tim 1;09
tu vas couper la fraise ? 1651910_1656618 MOT · french/lyon_tim19b.cha, line 2305 · Tim 1;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

0.00.51.01.52.02.5

1;081;091;101;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_tim19b.cha	Tim	1;9.12	2,233	5	5	2.24

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