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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Context

Ignore case Whole words

Scope One transcript: french/lyon_mar02b.cha change

Searching only french/lyon_mar02b.cha. Search all transcripts instead

4 matches in 4 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (306 utterances, 1,237 words searched).

Concordance Utterances Distribution Matched forms

ouh à force de l(e) manger bah on va plus pouvoir le rentrer dans l(e) trou ! 673236_676748 MOT · french/lyon_mar02b.cha, line 616 · Marie 1;00
on va aller à la piscine si tu sais battre comme ça des pieds . MOT · french/lyon_mar02b.cha, line 949 · Marie 1;00
on va apprendre le crawl ! 1131155_1141550 MOT · french/lyon_mar02b.cha, line 953 · Marie 1;00
quand ça va vite hein t(u) aimes bien ! 1483156_1485360 MOT · french/lyon_mar02b.cha, line 1274 · Marie 1;00

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

0;111;001;011;02

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_mar02b.cha	Marie	1;0.23	1,237	4	4	3.23

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