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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

27 Jul 2020: Results are presented for the 2001 development test set and the 2002 evaluation set.

27 Jul 2020: The results show that the proposed method is very much faster yet performs acceptably compared to conventional systems which depend on keyword-specific training or prior knowledge of the test set

27 Jul 2020: Because the compensation is word-dependent, its application needs to be hypothesis-driven on the test material.

27 Jul 2020: An implementation is outlined and demonstrated on test sequences containing two motions.

27 Jul 2020: The paper also presents results on a new set of 60 queries with assessments for the TREC-6 test document data used for development purposes, and analyses the relationship between recognition

27 Jul 2020: It is found that, in most cases, the commonly-used cross-correlation does not perform as well as some other measures, such as the chi squared test or the sum of

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. •

2 Mar 2009: The ML-SAT test procedure is first run toobtain initial ML speaker transforms. ... There is no need to estimate speaker-specific discriminative transforms on the test data.

20 Feb 2018: 1 Introduction. Speaking tests for assessing non-native speakersof English (NNSE) often include tasks involvinginteractive dialogue between a human examinerand a candidate. ... Williams, Kai Yu, Steve Young,and Maxine Eskenazi. 2011. Spoken dialog

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

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.

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.

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.

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

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.

30 Sep 2019: NICT-JLE: oral proficiency test interviews. • CLC: range of written exams at different grade levels. ... 10. Boosting GED Performance on Spoken BULATS. 11. • Fine-tune CLC system with 80% data, dev 10%, test 10% x10. •

21 Feb 2022: Automate (English) spoken language assessment & learning• without simplifying/limiting form of test: “free speaking”• possibility for richer, interactive, tests• desire to assess communication skills. ... 5/56. Spoken Language Assessment &

20 Feb 2018: The aim of this test was to formally evaluate the reduction of breathiness observed in TE speech following glottal source replacement. ... All subjects were naïve raters, unfamiliar with TE speech. Results of the pair-wise perceptual tests are

10 Jan 2005: gram. The reduction is greater if PLSA’straining text relates to the test set. ... The test set perplexities were calculated on the re-maining half of eval03 (eval03tst).