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_tim29a.cha change

Searching only french/lyon_tim29a.cha. Search all transcripts instead

5 matches in 4 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (490 utterances, 2,337 words searched).

Concordance Utterances Distribution Matched forms

tu veux un bonbon ? MOT · french/lyon_tim29a.cha, line 39 · Tim 2;04
tu veux du chocolat ? 62527_65430 MOT · french/lyon_tim29a.cha, line 67 · Tim 2;04
tu veux du chocolat ? MOT · french/lyon_tim29a.cha, line 78 · Tim 2;04
remarque , si tu veux r(e)garder c(e)lui-là , j(e) veux bien hein mais +... MOT · french/lyon_tim29a.cha, line 1343 · Tim 2;04
remarque , si tu veux r(e)garder c(e)lui-là , j(e) veux bien hein mais +... MOT · french/lyon_tim29a.cha, line 1343 · Tim 2;04

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

2;032;042;052;06

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_tim29a.cha	Tim	2;4.8	2,337	4	5	2.14

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