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_tim28b.cha change

Searching only french/lyon_tim28b.cha. Search all transcripts instead

5 matches in 4 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (477 utterances, 1,514 words searched).

Concordance Utterances Distribution Matched forms

tu vois elles sont près les deux roues . MOT · french/lyon_tim28b.cha, line 213 · Tim 2;03
là elles sont loin . 109680_111093 MOT · french/lyon_tim28b.cha, line 216 · Tim 2;03
et puis là <elles sont> [/] elles sont: proches . MOT · french/lyon_tim28b.cha, line 235 · Tim 2;03
et puis là <elles sont> [/] elles sont: proches . MOT · french/lyon_tim28b.cha, line 235 · Tim 2;03
mais qu'elles www [= ! li] ont faim . 1643745_1644868 MOT · french/lyon_tim28b.cha, line 2632 · Tim 2;03

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

01234

2;022;032;042;05

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_tim28b.cha	Tim	2;3.24	1,514	4	5	3.30

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