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_nat05b.cha change

Searching only french/lyon_nat05b.cha. Search all transcripts instead

4 matches in 4 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,338 words searched).

Concordance Utterances Distribution Matched forms

bon on va p(eu)t-être ranger un peu quand_même hein ! MOT · french/lyon_nat05b.cha, line 740 · Nathan 1;02
on va ranger un tout p(e)tit peu p(eu)t-être non ! 1272363_1296570 MOT · french/lyon_nat05b.cha, line 743 · Nathan 1;02
tu vrilles encore un peu hein mon bébé ! MOT · french/lyon_nat05b.cha, line 895 · Nathan 1;02
on va aller faire un peu d(e) musique . MOT · french/lyon_nat05b.cha, line 933 · Nathan 1;02

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

per 1,000 words

01234

1;011;021;031;04

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_nat05b.cha	Nathan	1;2.14	1,338	4	4	2.99

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