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/york_liea018.cha change

Searching only french/york_liea018.cha. Search all transcripts instead

4 matches in 3 utterances

3.00 per 1,000 words of the child (CHI), in 1 of 1 transcripts (234 utterances, 1,334 words searched).

Concordance Utterances Distribution Matched forms

maintenant tu le [//] maintenant tu me gonfles le &bal [///] maintenant tu me le gonfles . 1426892_1433799 CHI · french/york_liea018.cha, line 1194 · Léa 3;06
…tu le [//] maintenant tu me gonfles le &bal [///] maintenant tu me le gonfles . 1426892_1433799 CHI · french/york_liea018.cha, line 1194 · Léa 3;06
tu me gonfles [///] tu m'en gonfleras [?] (.) encore un ? 1542852_1551865 CHI · french/york_liea018.cha, line 1284 · Léa 3;06
tu me le gonfles ? [+ request] 1584119_1584539 CHI · french/york_liea018.cha, line 1329 · Léa 3;06

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

per 1,000 words

01234

3;053;063;073;08

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/york_liea018.cha	Léa	3;6.04	1,334	3	4	3.00

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