---
name: "apertium-lextor"
section: "1"
platform: "linux"
package: "apertium"
version: "3.1.0-2"
release: "Debian 8 (Jessie)"
platforms: ["linux"]
url: "https://new.carta.tech/apertium-lextor"
---

# apertium-lextor(1)

This application is part of ( apertium ) This tool is part of the apertium machine translation architecture: http://apertium.org.

## NAME

apertium-lextor - This application is part of ( **apertium** )

This tool is part of the apertium machine translation architecture: **http://apertium.org**.

## SYNOPSIS

**apertium-lextor** **--trainwrd stopwords words n left right corpus model** \[ **--weightexp w** \] \[ **--debug** \]

**apertium-lextor** **--trainlch stopwords lexchoices n left right corpus wordmodel dic bildic model** \[ **--weightexp w** \] \[ **--debug** \]

**apertium-lextor** **--lextor model dic left right** \[ **--debug** \] \[ **--weightexp w** \]

## DESCRIPTION

**apertium-lextor** is the application responsible for training and usage of the *lexical* *selector module*.

## OPTIONS

**--trainwrd \| -t**\
 Train word co-occurrences model. It needs the following required parameters:

- *stopwords file containing a list of stop words. Stop words are ignored.*

  - *words file containing a list of words. For each word a co-occurrence model is built.*

  - *n number of words per co-occurrence model (for each model, the n most frequent words).*

  - *left left-side context to take into account (number of words).*

  - *right right-side context to take into account (number of words).*

  - *corpus file containing the training corpus.*

  - *model output file on which the co-occurrence models are saved.*

  **--trainlch \| -r**\
 Train lexical choices co-occurrence models using a target language co-occurrence model and a bilingual dictionary. It needs the following required parameters:

- *stopwords file containing a list of stop words. Stop words are ignored.*

  - *lexchoices file containing a list of lexical choices. For each lexical choice a co-occurrence model is built.*

  - *n number of words per co-occurrence model (for each model, the n most frequent words).*

  - *left left-side context to take into account (number of words).*

  - *right right-side context to take into account (number of words).*

  - *corpus file containing the training corpus.*

  - *wordmodel target-language word co-occurrence model (previously trained by means of the **--trainwrd** option).*

  - *dic the lexical-selection dictionary (binary format).*

  - *bildic the bilingual dictionary (binary format).*

  - *model output file on which the co-occurrence models are saved.*

  **--lextor \| -l**\
 Perform the lexical selection on the input stream. It needs the following required parameters:

- *model file containing the model to be used for the lexical selection.*

  - *dic lexical-selection dictionary (binary format).*

  - *left left-side context to take into account (number of words).*

  - *right right-side context to take into account (number of words).*

  **--weightexp w**\
 Specify a weight value to change the influence of surrounding words while training or performing the lexical selection. The parameter *w* must be a positive value.

**--debug \| -d**\
 Show debug information while working.

**--help \| -h**\
 Shows this help.

**--version \| -v**\
 Shows license information.

## SEE ALSO

*apertium-gen-lextorbil(1),* *apertium-preprocess-corpus-lextor(1),* *apertium-gen-stopwords-lextor(1),* *apertium-gen-wlist-lextor(1),* *apertium-gen-wlist-lextor-translation(1),* *apertium-lextor-eval(1),* *apertium-lextor-mono(1).*

## BUGS

Lots of...lurking in the dark and waiting for you!

## AUTHOR

(c) 2005,2006 Universitat d'Alacant / Universidad de Alicante. All rights reserved.