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/pauline_23a.cha change

Searching only french/pauline_23a.cha. Search all transcripts instead

7 matches in 7 utterances

3.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (470 utterances, 1,937 words searched).

Concordance Utterances Distribution Matched forms

et elle va prendre le métro . MOT · french/pauline_23a.cha, line 840 · Pauline 1;11
elle a des tickets de métro , Pauline ! MOT · french/pauline_23a.cha, line 849 · Pauline 1;11
elle prend le métro ? MOT · french/pauline_23a.cha, line 868 · Pauline 1;11
elle va prendre le métro . MOT · french/pauline_23a.cha, line 891 · Pauline 1;11
tiens c'est ça tu vois le métro , maintenant . MOT · french/pauline_23a.cha, line 894 · Pauline 1;11
ça va sous la terre le métro ? MOT · french/pauline_23a.cha, line 903 · Pauline 1;11
le métro passe ! MOT · french/pauline_23a.cha, line 914 · Pauline 1;11

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;101;112;002;01

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_23a.cha	Pauline	1;11.05	1,937	7	7	3.61

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