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  1. Results that match 1 of 2 words

  2. Abstract for woodland_rt02

    mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_rt02.html
    27 Jul 2020: Results are presented for the 2001 development test set and the 2002 evaluation set.
  3. Abstract for niesler_tr265

    mi.eng.cam.ac.uk/reports/abstracts/niesler_tr265.html
    27 Jul 2020: Abstract for niesler_tr265. Cambridge University Engineering Department Technical Report CUED/F-INFENG/TR265. COMPARATIVE EVALUATION OF WORD- AND CATEGORY-BASED LANGUAGE MODELS. Thomas Niesler and Phil Woodland. July 1996. Conventional n-gram
  4. Abstract for wong_tr108

    mi.eng.cam.ac.uk/reports/abstracts/wong_tr108.html
    27 Jul 2020: Because the compensation is word-dependent, its application needs to be hypothesis-driven on the test material.
  5. Towards Learning Orientated Assessment for Non-native Learner Spoken…

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/ALTA_Sheffield_20190306.pdf
    21 Feb 2022: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... NICT Japanese Learner English (JLE) • Manual transcription of interviews from English oral proficiency test. •
  6. 2 Mar 2009: To further refine the LM, unsupervised test-setadaptation to a particular broadcast show, for example, may beused. ... 5. ConclusionUnsupervised test-time context dependent adaptation of n-grammixture models using a discriminative method was
  7. 22 Nov 2006: The final un-adapted performance on the dev04PE test set was 41.6%. ... Table 5 shows the effect of theuse of an automatic segmenter on the dev04 test data.
  8. Effects of Out of Vocabulary Words in Spoken Document ...

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_sigir00.pdf
    10 May 2000: The TREC-8 SDR test collection[1] usedfor the experiments consists of 21,754 spoken documentsand 49 written queries. ... expansion. Thisparallel collection was larger and thought to be more re-liable than the automatically transcribed test collection.
  9. 20 Feb 2018: There were in total47 distinct semantic slots. To parse a test sentence, it was first preprocessed to apply thesame lexical class substitution as used in training, then aligned toeach of the ... 4.2. Results. The Y-clustering approach was tested using
  10. 20 Feb 2018: During the control tests, each site taking partin the challenge was asked to find test volunteers. ... Table 2. Overall performance for the Lets Go! spoken dia-logue challenge control tests.
  11. 22 Nov 2006: The finalsystem shows state-of-the-art performance over a range of test sets. ... This approach was not found to perform reliably across differ-ent types of test data.

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