PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat25b.cha change

Searching only french/lyon_nat25b.cha. Search all transcripts instead

6 matches in 6 utterances

7.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

Concordance Utterances Distribution Matched forms

bon ben écoute hein . MOT · french/lyon_nat25b.cha, line 178 · Nathan 2;10
elle est drôle cette histoire hein ! MOT · french/lyon_nat25b.cha, line 288 · Nathan 2;10
tiens j(e) vais t'aider à finir Nanou hein ? 623825_667483 MOT · french/lyon_nat25b.cha, line 463 · Nathan 2;10
douc(e)ment Nanou hein ? MOT · french/lyon_nat25b.cha, line 591 · Nathan 2;10
hein tu sais dire bonjour ! 938675_941070 MOT · french/lyon_nat25b.cha, line 650 · Nathan 2;10
hein ? 941975_946028 MOT · french/lyon_nat25b.cha, line 655 · Nathan 2;10

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

per 1,000 words

02468

2;092;102;113;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/lyon_nat25b.cha	Nathan	2;10.23	790	6	6	7.59

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