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  • ...r some mwe's), so after bidix has transferred "bekjempet" to "kjempa_mot", transfer needs to turn this into "kjempa(lemh) ofte<adv> mot(lemq)". This looks a bi ...><pres>$ ^ikkje<adv>$ ^*Jurafjella$ ^til<part><sep>$ ^*Alpane$' | apertium-transfer -n apertium-nn-nb.multiwords.t1x multiwords.bin
    23 KB (3,704 words) - 11:56, 16 December 2020
  • Missing or incorrect Disambiguation and Lexical Selection rules often cause the wrong word to be translated. Problems in disambiguation ca To disambiguate these readings, you need to make rules based on the grammatical context. E.g., if the next word is a verb, then y
    5 KB (903 words) - 11:57, 26 September 2016
  • Missing or incorrect Disambiguation and Lexical Selection rules often cause the wrong word to be translated. Problems in disambiguation ca To disambiguate these readings, you need to make rules based on the grammatical context. E.g., if the next word is a verb, then y
    6 KB (900 words) - 19:45, 2 December 2013
  • ...transfer rule to an existing language pair and test that it works. [[/Add transfer rule|Read more]]... || [[User:Mlforcada]] [[User:ilnar.salimzyan]] [[User: ...ty of a pair and test them to ensure that they work. [[/Add lexical-select rules|Read more]]... || [[User:Mlforcada]], [[User:Francis Tyers]] [[User:ilnar.
    68 KB (10,323 words) - 15:37, 25 October 2014
  • Improving the existing English to Hindi wordlist and transfer rules available in Apertium. Apertium is a shallow-transfer machine translation system. Currently , at http://www.apertium.org/ no Indi
    6 KB (923 words) - 17:57, 3 April 2010
  • ...election. Work on rudimentary transfer rules, as well as begin on transfer rules for verbs. | Continue work on transfer rules for verbs.
    4 KB (521 words) - 05:48, 5 June 2017
  • ...and lexical selection. The theory section will cover some details of why a transfer lexicon (or bilingual dictionary) cannot always be just correspondences bet ...d is marking in the entries features which need to be inferred by transfer rules. For example, choosing the most frequent translation of the Chuvash word ''
    13 KB (2,053 words) - 12:00, 31 January 2012
  • ...and lexical selection. The theory section will cover some details of why a transfer lexicon (or bilingual dictionary) cannot always be just correspondences bet ...d is marking in the entries features which need to be inferred by transfer rules. For example, choosing the most frequent translation of the Chuvash word ''
    13 KB (2,056 words) - 08:20, 10 May 2013
  • ...and lexical selection. The theory section will cover some details of why a transfer lexicon (or bilingual dictionary) cannot always be just correspondences bet ...d is marking in the entries features which need to be inferred by transfer rules. For example, choosing the most frequent translation of the Chuvash word ''
    13 KB (2,056 words) - 10:56, 30 October 2015
  • #* <pre>after disambiguation and pre-transfer: ^coffee# with milk<n><sg>$</pre> #* <pre>after disambiguation and pre-transfer: ^coffee# with milk<n><pl>$</pre>
    21 KB (3,521 words) - 05:17, 10 December 2017
  • *The file with the transfer rules to be used (trules.xml or .t1x file &mdash; e.g. <code>apertium-oc-ca.oc-ca ===Extract regex rules===
    11 KB (1,470 words) - 08:16, 8 October 2014
  • ...nter | ---- || This section establishes the type of code generated and the transfer stage. ...ern is matched,<br /> we need to process all the patterns which are in the rules section.
    14 KB (2,020 words) - 13:58, 7 October 2014
  • ! Transfer goal | Good coverage, insufficient CG rules
    3 KB (288 words) - 08:30, 23 July 2018
  • ...dule to replace the apertium-transfer module(s) which will parse and allow transfer operations on an input. # Propose a transfer rule formalism
    2 KB (307 words) - 19:16, 28 February 2019
  • morf.analysis | morf.disambiguation | bidix | lexical selection | structural transfer | morf. generation * [[Learning rules from parallel and non-parallel corpora]]
    4 KB (625 words) - 08:36, 29 April 2015
  • [[Transfer rules examples|In English]]
    60 KB (8,894 words) - 21:10, 20 November 2019
  • ...analysis dictionary, the bilingual dictonary, the three levels of transfer rules. ===Transfer rules===
    7 KB (830 words) - 21:33, 30 September 2013
  • ...C]</ref> for adding closed-category terms and learning about morphological rules in general. ===Transfer rules===
    7 KB (1,063 words) - 11:13, 26 August 2011
  • ...mainly of building a bilingual bidix, writing transfer and disambiguation rules and enriching the Uyghur morphological analyzer. ==Transfer==
    5 KB (607 words) - 13:25, 12 August 2018
  • ...age pair. After that the focus was on tur-uig and uzb-tur. CG and transfer rules were written to improve the translation quality for these languages. ==Transfer==
    7 KB (798 words) - 18:30, 26 August 2019

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