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/pauline_26a.cha change

Searching only french/pauline_26a.cha. Search all transcripts instead

8 matches in 8 utterances

4.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,667 words searched).

Concordance Utterances Distribution Matched forms

ça c'est marron , comme ma jupe . MOT · french/pauline_26a.cha, line 715 · Pauline 2;02
t'as vu , c'est pareil que ma jupe . MOT · french/pauline_26a.cha, line 719 · Pauline 2;02
tu lèves bien ta jupe derrière ! MOT · french/pauline_26a.cha, line 815 · Pauline 2;02
baisse ta jupe ! SYL · french/pauline_26a.cha, line 1010 · Pauline 2;02
baisse ta jupe ! SYL · french/pauline_26a.cha, line 1016 · Pauline 2;02
allez la jupe ! MOT · french/pauline_26a.cha, line 1202 · Pauline 2;02
la jupe ! MOT · french/pauline_26a.cha, line 1312 · Pauline 2;02
enlève ta jupe ! MOT · french/pauline_26a.cha, line 1317 · Pauline 2;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

0246

2;012;022;032;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/pauline_26a.cha	Pauline	2;02.05	1,667	8	8	4.80

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