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1 - 10 of 25 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 25 match some words.

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  2. Towards Learning Orientated Assessment for Non-native Learner Spoken…

    mi.eng.cam.ac.uk/~kmk/presentations/ALTA_Sheffield_20190306.pdf
    8 Mar 2019: 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. •

  3. Surprise Languages: Rapid-Response Cross-Language IR

    mi.eng.cam.ac.uk/~ar527/oard_evia2019.pdf
    11 Jun 2019: of the decade at the NACSIS Test Collection forInformation Retrieval (NTCIR) and the Cross-Language EvaluationForum (CLEF) evaluations in Japan and Europe, respectively. ... Earlier access to a test collection containing relevance judg-ments could have

  4. To appear Proc. ICASSP. c©2019 IEEE. Personal use of ...

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/Knill_ICASSP2019_AcceptedPaper.pdf
    3 Mar 2019: For training, the FCE-public training set wasaugmented with further FCE test data and written tests from IELTS,BULATS, CPE and CAE [5], giving around 27.5K candidates. ... corpora. The FCEwritten test has higher precision and recall scores than the

  5. POUDEL, LIWICKI, CIPOLLA: FAST-SCNN: FAST SEGMENTATION NETWORK 1…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2019-BMVC-Fast-SCNN.pdf
    12 Aug 2019: training set of 2,975, validation set of 500 and test set of 1,525 images. ... The label for thetraining set and validation set are available and test results can be evaluated on the evalua-tion server.

  6. Automatic Grammatical Error Detection of Non-native Spoken Learner…

    mi.eng.cam.ac.uk/~kmk/presentations/ICASSP2019_GED_Knill.pdf
    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. •

  7. IMPROVED AUTO-MARKING CONFIDENCE FOR SPOKEN LANGUAGE ASSESSMENT M.…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/vecchio_slt18.pdf
    25 Feb 2019: able to derive practical confidenceestimates mitigating the problem of sacrificing either com-putational complexity or test accuracy. ... NLL) on the test set when compared to the FA model (89.952vs.

  8. SegNet: A Deep Convolutional Encoder-DecoderArchitecture for Image…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2017-PAMI-SegNet.pdf
    11 Sep 2019: How-ever, these are not feed-forward at test time and requireoptimization to determine the MAP labels. ... We report all the threemeasures of performance at this point on the held-out Cam-Vid test set.

  9. Applying Deep Learning in Non-native Spoken English Assessment

    mi.eng.cam.ac.uk/~kmk/presentations/APSIPA2019_Knill_Keynote.pdf
    21 Nov 2019: Automate (English) spoken language assessment & learning• without simplifying/limiting form of test: “free speaking”• possibility for richer, interactive, tests• desire to assess communication skills. ... 4/45. Spoken Language Assessment &

  10. SEQUENCE TEACHER-STUDENT TRAINING OF ACOUSTIC MODELS FOR…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/wang_slt18.pdf
    25 Feb 2019: The BULATS test com-prises 5 sections: A. responses to short questions; B. ... but has a much smaller decoding RTF, assuming that the L1 ofthe test speaker is known.

  11. POUDEL, LIWICKI, CIPOLLA: FAST-SCNN: FAST SEGMENTATION NETWORK 1…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2019-BMVC-Fast-SCNN.pdf
    12 Aug 2019: training set of 2,975, validation set of 500 and test set of 1,525 images. ... The label for thetraining set and validation set are available and test results can be evaluated on the evalua-tion server.

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