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• Afrikaans and English
  {{main|Separable verbs}} {{main|Evaluation material for English to Afrikaans}}
  14 KB (2,140 words) - 15:42, 30 November 2010
• Tartu Apertium Course/Session 0
  A brief overview of corpus-based MT would split it into two main subgroups, statistical and example based. In theory, the basic approach to Below is a table which gives a description of the main data files that can be found in a typical language pair, and links to the s
  11 KB (1,519 words) - 18:27, 16 October 2015
• Lttoolbox API
  <section id="main" type="standard"> int main(int argc, char **argv)
  6 KB (950 words) - 13:19, 10 March 2017
• North Saami and Lule Saami/Regression tests
  In smj, the negation verb is inflected for tense, while in sme it's the main verb that is inflected for tense. (in sme the past form of the main verb negation form is the same as the past participle form)
  18 KB (2,958 words) - 11:55, 25 May 2021
• Farsi/About
  ...A sentence structure must be in the form of SOV (subject-object-verb). The main clause in a sentence precedes a subordinate clause. The interrogative parti Corpora are the main knowledge base in corpus linguistics. The analysis and processing of variou
  16 KB (2,597 words) - 20:58, 12 January 2013
• Apertium for Dummies
  ...the chain. For example, in the past, programs have been inserted into the main chain then removed. Yes, that is true, the chain is not same as it was when ...had a statistical module for disambiguation. That is now removed from the main chain, yet the 'weighing' feature in the lexical selector is arguably a kin
  17 KB (2,835 words) - 16:16, 24 January 2017
• Tartu Apertium Course/Session 8
  The main idea of this session is to show that making a new translation system with A ...It is the second most used translator on the Apertium website, and is the main machine translation system of a number of universities in Spain for this la
  12 KB (1,683 words) - 11:00, 30 October 2015
• Курсы машинного перевода для языков России/Session 0
  A brief overview of corpus-based MT would split it into two main subgroups, statistical and example based. In theory, the basic approach to Below is a table which gives a description of the main data files that can be found in a typical language pair, and links to the s
  12 KB (1,464 words) - 12:00, 31 January 2012
• English and Kazakh
  {{main|Minimal installation from SVN}} Main kinds of NPs:
  20 KB (2,856 words) - 06:26, 27 May 2021
• Documentation for integrating Tesseract (OCR) into Apertium
  public static void main(String[] args) throws Exception { public static void main(String[] args) throws Exception {
  3 KB (450 words) - 16:23, 10 December 2018
• Morphological dictionary
  To start with, it is worth defining a finite-state automaton and how the two main types differ. This will not be an exhaustive description, just an overview ...a '''transducer'''. A transducer is very much like an acceptor, with this main difference: instead of each transition consuming a character from the input
  15 KB (2,200 words) - 12:04, 6 October 2014
• Siciliano y castellano/Informe final
  ...ted. Thus, the Sicilian monolingual dictionary contains paradigms both for main entries that are used for generation and for additional forms that can be a ...As a result, starting from the mid of July we have been concentrating our main attention on the structural aspects of translation (paradigms, rules, and d
  9 KB (1,370 words) - 13:58, 23 August 2016
• Kyrgyz and Kazakh
  The main respository to check out is: The main dictionary file is <code>apertium-kaz-kir.kaz-kir.dix</code>, lexical selec
  3 KB (304 words) - 01:51, 10 March 2018
• Modes
  The main translation mode is always named "from-to", e.g. "sme-nob". The debug modes ...tical information about translations made using Apertium, we've hacked the main translation mode, pausing the pipeline just after disambiguation and saving
  6 KB (824 words) - 22:30, 24 January 2022
• Google Summer of Code/Application 2014
  Apertium is applying again for two main reasons: ...d 11 in 2013. We are very happy with the results of our participation. Our main successes and challenges are described below:
  7 KB (1,212 words) - 20:10, 4 February 2014
• Tools
  {{Main page header}} [[Image:EasyFigure1.png|thumb|300px|right|The main window of [[Easy dictionary maintenance|DicsToolsSuite]]]]
  4 KB (518 words) - 07:17, 4 September 2017
• Shallow syntactic function labeller/Workplan
  The main things to do: * Refactore the main code.
  6 KB (833 words) - 12:56, 22 August 2017
• Autoconcord (français)
  L'écriture à la main de commentaires autoconcord dans les paradigmes peut prendre du temps. Si vous ne voulez pas le faire à la main, dixtools peut faire du travail pour vous.
  8 KB (1,327 words) - 08:43, 6 October 2014
• Main Page
  {{Main page header}} {{main|Documentation}}
  8 KB (1,034 words) - 04:09, 13 October 2023
• Helsinki Apertium Workshop/Session 0
  A brief overview of corpus-based MT would split it into two main subgroups, statistical and example based. In theory, the basic approach to Below is a table which gives a description of the main data files that can be found in a typical language pair, and links to the s
  11 KB (1,519 words) - 06:51, 11 May 2013

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