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Infer language

NLP · inference · model · text

Detect the language used for each text in the input column.

Each language will be represented by its ISO 639-1 language code, such as "en", "es", "it" for English, Spanish and Italian respectively.

Usage


The following are the step's expected inputs and outputs and their specific types.

Step signature
infer_language(text: text, {"param": value}) -> (lang: category)

where the object {"param": value} is optional in most cases and if present may contain any of the parameters described in the corresponding section below.

Example

In most cases no special configuration should be necessary, so simply

Example call (in recipe editor)
infer_language(ds.text) -> (ds.language)

Inputs


text: column:text

A text column to detect languages for.

Outputs


lang: column:category

A column identifying the language of each text using its two-letter ISO 639-1 language code.

Parameters


min_probability: number = 0.5

Minimum probability to assign a language for a particular text. If the model used to infer the language is less sure about a language than this, the corresponding text will be assigned no language, and will have a missing values instead (NaN).

Range: 0 ≤ min_probability ≤ 1


allowed_languages: array[string] = ['en', 'es', 'pt', 'fr', 'de', 'it', 'eu', 'ca', 'tr', 'ar']

Only these languages will be inferred. Can be used to limit language detection to a smaller set if necessary.

Items in allowed_languages

item: string

Must be one of: "en", "es", "pt", "fr", "de", "it", "eu", "ca", "tr", "ar"

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