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  • -e: morphological analysis, with compound analysis on unknown words -n: morph. generation without unknown word marks
    9 KB (1,370 words) - 09:49, 7 April 2020
  • ...high, and compares with commercial systems -- over 95% coverage (around 5 unknown words out of 100 words), and between 3-7% word-error rate (out of 100 words ...final coverage of the system was around 90%, e.g. over a set of corpora 10 unknown words out of 100 on average. The word-error rate was around 17%, meaning th
    12 KB (1,683 words) - 11:00, 30 October 2015
  • ...verb conjugations, declensions, etc. More generically, upon finding a new unknown word, we can productively generate all its inflections according to every p ...ome constraints, which we can use in order to gather information about an unknown word. More generically, we can gather information about a word knowing whic
    6 KB (928 words) - 13:57, 3 April 2009
  • ...smi="v|tv|fut|p1|sg" si="root" UpCase="none" lem="iç" mi="v|tv|fut|p1|sg" unknown="transfer"> ...="0" slem="bira" smi="n|acc" si="dobj" UpCase="none" lem="bira" mi="n|acc" unknown="transfer">
    53 KB (8,811 words) - 04:05, 21 January 2017
  • ...analysis. This could happen by changing lt-proc (fst_processor.cc) so that unknown words are sent to a decompounding-function that tries various strategies (l * If the first member is unknown, choose the analysis with the longest last member.
    13 KB (2,051 words) - 10:24, 22 September 2010
  • |unknown |REGLA: unknown
    45 KB (7,840 words) - 10:56, 18 September 2017
  • '''Detect hidden unknown words by using the probabilities of the HMM-based part-of-speech tagger in ...orms for which there exists at least one lexical form cannot be considered unknown and there is no way to know whether the set of possible lexical forms provi
    2 KB (277 words) - 19:51, 24 March 2020
  • ...m Wikipedia, newspapers, literature, etc.) '''detect the 250 most frequent unknown words''' (words in the source document which are not in the dictionary). S ...opriate <code>.dix</code> or <code>.lexc</code> file) so that they are not unknown anymore. Make sure to categorise stems correctly (this can be hard, so ple
    2 KB (299 words) - 19:44, 30 December 2019
  • ...m Wikipedia, newspapers, literature, etc.) '''detect the 200 most frequent unknown words''' (words in the source document which are not in the bilingual dicti ...ropriate <code>.dix</code> file) in [[bidix]] format (so that they are not unknown anymore), as well as the monolingual analysers if needed. Make sure to cat
    2 KB (320 words) - 15:01, 19 January 2020
  • <pre>LIST unknown = ("\\*.*"r) ; </pre> <pre>SELECT proper-name IF (1 unknown);</pre>
    8 KB (1,211 words) - 23:02, 4 April 2021
  • ...high, and compares with commercial systems -- over 95% coverage (around 5 unknown words out of 100 words), and between 3-7% word-error rate (out of 100 words ...final coverage of the system was around 90%, e.g. over a set of corpora 10 unknown words out of 100 on average. The word-error rate was around 17%, meaning th
    12 KB (1,679 words) - 12:00, 31 January 2012
  • ...in extending dictionaries by assigning stems and inflectional paradigms to unknown words] (pp.19-26.). EAMT 2014 – 17th Annual conference of the European As ...sites/default/files/FreeRBMT-2012.pdf#33 Choosing the correct paradigm for unknown words in rule-based machine translation systems]. Third International Works
    33 KB (4,418 words) - 11:52, 29 December 2021
  • echo unknown; coverage = 1 - unknown / total
    6 KB (625 words) - 16:54, 1 July 2013
  • ...orpus, using your existing analyser, and tagger to give possible values to unknown words <spectie> you would assign possible values for case/number/gender to the unknown surface forms of *fizikalne and *matematične based
    4 KB (611 words) - 14:26, 10 February 2015
  • ...high, and compares with commercial systems -- over 95% coverage (around 5 unknown words out of 100 words), and between 3-7% word-error rate (out of 100 words ...final coverage of the system was around 90%, e.g. over a set of corpora 10 unknown words out of 100 on average. The word-error rate was around 17%, meaning th
    12 KB (1,683 words) - 08:42, 10 May 2013
  • ...ent for the current hidden-Markov-model tagger. It should have support for unknown words, and also for "forbid" descriptions (not described in the paper). The
    2 KB (251 words) - 00:37, 6 April 2013
  • ERROR LTTB1059: Transducer has features that are unknown to this version of lttoolbox - upgrade!
    122 bytes (18 words) - 23:43, 25 August 2023
  • ...f>See [[Alphabet]] for how the alphabet affects blanks and tokenisation of unknown words.</ref> it will look something like:
    11 KB (1,851 words) - 07:42, 16 February 2015
  • ...input string and for each word returns whether the word is correct, and if unknown returns suggestions. Whether segmentation is done by the client or by aper
    68 KB (10,323 words) - 15:37, 25 October 2014
  • ...specified in the alphabet, it is dealt with as whitespace, so e.g. you get unknown words split in two so you can end up with stuff like ^G$ö^k$ı^rmak$ which
    23 KB (3,198 words) - 09:15, 4 March 2024

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