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/yamaguchi_29-3_10_13.cha change

Searching only french/yamaguchi_29-3_10_13.cha. Search all transcripts instead

5 matches in 3 utterances

3.62 per 1,000 words of the child (CHI), in 1 of 1 transcripts (427 utterances, 1,383 words searched).

Concordance Utterances Distribution Matched forms

maman viens ! 236169_238881 CHI · french/yamaguchi_29-3_10_13.cha, line 383 · Adrien 3;10
viens ! 242494_244200 CHI · french/yamaguchi_29-3_10_13.cha, line 393 · Adrien 3;10
viens ‹par ,› viens viens ici ! 459692_462299 CHI · french/yamaguchi_29-3_10_13.cha, line 773 · Adrien 3;10
viens ‹par ,› viens viens ici ! 459692_462299 CHI · french/yamaguchi_29-3_10_13.cha, line 773 · Adrien 3;10
viens ‹par ,› viens viens ici ! 459692_462299 CHI · french/yamaguchi_29-3_10_13.cha, line 773 · Adrien 3;10

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;093;103;114;00

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/yamaguchi_29-3_10_13.cha	Adrien	3;10.13	1,383	3	5	3.62

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