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  • ...ty for an open-source OCR system (like Tesseract) to use HFST or lttoolbox transducers in place of a lookup dictionary. (Optical Character Recognition systems us
    14 KB (2,198 words) - 17:36, 11 May 2026
  • ...>--a2</code> arguments tell <code>apertium-init</code> what formalism your transducers are written in. You may need to say "<code>lttoolbox</code>" instead of "< ...> with the paths to the source-language transducer and the target-language transducers, respectively. If you have all the directories next to each other (recommen
    5 KB (849 words) - 15:57, 30 April 2026
  • == Morphological transducers == Transducers are pretty cool, and quite efficient... for computers. Following paths by
    27 KB (4,290 words) - 15:13, 26 February 2026
  • [[Category:Sp17 Transducers]]
    4 KB (591 words) - 11:03, 16 May 2017
  • ...ode> and <code>-a2</code> arguments tell apertium-init what formalism your transducers are written in. Any that we wrote in this course should be in HFST, but ot ...ecisions to bring your tagsets closer together, as possible—e.g., if the transducers use different tags for what amount to the same thing, or if you are or are
    10 KB (1,621 words) - 19:02, 23 November 2020
  • ...ound some issues in converting hfst-format transducers to lttoolbox-format transducers. That is, if <code>hfst-proc xyz.automorf.hfst</code> and <code>lt-proc xy
    2 KB (383 words) - 01:16, 10 April 2017
  • ...</code>). The trimmed transducers are almost always smaller than the main transducers. Measuring coverage of the trimmed transducer gives you some idea of the c
    6 KB (1,023 words) - 13:27, 21 April 2026
  • === Other applications of transducers ===
    418 bytes (44 words) - 06:13, 27 April 2017
  • ===Transducers===
    685 bytes (88 words) - 23:54, 26 April 2017
  • ...y corpus to 60% which will move me into Apertium's "development" phase for transducers, but for the purposes of this assignment I have met my goal.
    7 KB (1,001 words) - 00:38, 9 May 2017
  • ...sser 2009 Semitic Morphological Analysis and Generation Using Finite State Transducers with Feature Structures]
    5 KB (704 words) - 17:23, 8 February 2018
  • ...ns in English are like adverbs, such as 'continuously'. When developing my transducers, I added tags according their translations (i.e. I gave adv tag to some wor
    6 KB (1,020 words) - 18:01, 17 May 2018
  • ...each language, it will then find analysis of these files via the apertium transducers, and suggest a dictionary entry. If you approve the dictionary entry the wi
    3 KB (490 words) - 18:17, 31 May 2018
  • [[Category:Sp19 Transducers]]
    2 KB (296 words) - 15:33, 7 March 2019
  • ...have have to use <code>lt-proc</code> and the <code>.bin</code> version of transducers): #* [https://www.github.com/apertium/ Apertium's github repository] has transducers for a lot of languages.
    23 KB (3,811 words) - 04:34, 29 April 2026
  • == Morphological transducers == Transducers are pretty cool, and quite efficient... for computers. Following paths by
    17 KB (2,699 words) - 21:56, 8 March 2021
  • [[Category:Magahi]] [[Category:Sp21 Transducers]]
    3 KB (386 words) - 20:27, 21 March 2021
  • [[Category:Purépecha]] [[Category:Sp21 Transducers]]
    2 KB (255 words) - 19:14, 20 April 2021
  • [[Category:Adyghe]][[Category:Sp22 Transducers]]
    4 KB (291 words) - 14:21, 18 May 2022
  • [[Category:Sp23_Transducers]][[Category:Japhug]][[Category:Transducers]]
    4 KB (462 words) - 23:36, 8 May 2023

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