PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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: eng_USA_Valian/01a.cha change

Searching only eng_USA_Valian/01a.cha. Search all transcripts instead

6 matches in 6 utterances

1.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (654 utterances, 3,015 words searched).

Concordance Utterances Distribution Matched forms

that's Baba . MOT · eng_USA_Valian/01a.cha, line 327 · 01A 2;01
that's right, Baba . MOT · eng_USA_Valian/01a.cha, line 638 · 01A 2;01
is that a little, is that a Baba ? MOT · eng_USA_Valian/01a.cha, line 1280 · 01A 2;01
what about Baba ? MOT · eng_USA_Valian/01a.cha, line 2127 · 01A 2;01
the Baba ? MOT · eng_USA_Valian/01a.cha, line 2199 · 01A 2;01
does the Baba have a name ? MOT · eng_USA_Valian/01a.cha, line 2203 · 01A 2;01

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

per 1,000 words

0.00.51.01.52.02.5

2;002;012;022;03

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
eng_USA_Valian/01a.cha	01A	2;1.03	3,015	6	6	1.99

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