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_nat10a.cha change

Searching only french/lyon_nat10a.cha. Search all transcripts instead

5 matches in 5 utterances

4.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (398 utterances, 1,078 words searched).

Concordance Utterances Distribution Matched forms

allez donne moi ça ! 503378_511143 MOT · french/lyon_nat10a.cha, line 566 · Nathan 1;05
donne moi ça ! 520158_521782 MOT · french/lyon_nat10a.cha, line 593 · Nathan 1;05
donne ! 521782_522750 MOT · french/lyon_nat10a.cha, line 595 · Nathan 1;05
donne le moi ! 522750_524872 MOT · french/lyon_nat10a.cha, line 597 · Nathan 1;05
allez donne moi la facture ! 1205480_1208038 MOT · french/lyon_nat10a.cha, line 1116 · Nathan 1;05

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

per 1,000 words

012345

1;041;051;061;07

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_nat10a.cha	Nathan	1;5.8	1,078	5	5	4.64

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