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_nat10b.cha change

Searching only french/lyon_nat10b.cha. Search all transcripts instead

5 matches in 4 utterances

8.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (188 utterances, 594 words searched).

Concordance Utterances Distribution Matched forms

allez , viens me voir ! MOT · french/lyon_nat10b.cha, line 388 · Nathan 1;05
eh si on allait voir où elle en www [= ! li] est la soupe ? 813800_816747 MOT · french/lyon_nat10b.cha, line 419 · Nathan 1;05
<si on> [/] www [= ! li] <est voir> [//] et si on [/] www [= ! li] allait voir la soupe ? 818735_821780… MOT · french/lyon_nat10b.cha, line 426 · Nathan 1;05
…on> [/] www [= ! li] <est voir> [//] et si on [/] www [= ! li] allait voir la soupe ? 818735_821780 MOT · french/lyon_nat10b.cha, line 426 · Nathan 1;05
j(e) vais voir la soupe . MOT · french/lyon_nat10b.cha, line 434 · 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

0246810

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_nat10b.cha	Nathan	1;5.8	594	4	5	8.42

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