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Sequential system combination for machine translation of speech
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In: http://www.clsp.jhu.edu/~damianos/slt08_mt_combination.pdf (2008)
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| 2 |
Morphological Segmentation for Keyword Spotting
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In: http://aclweb.org/anthology/D/D14/D14-1095.pdf
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Abstract:
We explore the impact of morpholog-ical segmentation on keyword spotting (KWS). Despite potential benefits, state-of-the-art KWS systems do not use mor-phological information. In this paper, we augment a state-of-the-art KWS sys-tem with sub-word units derived from su-pervised and unsupervised morphological segmentations, and compare with phonetic and syllabic segmentations. Our exper-iments demonstrate that morphemes im-prove overall performance of KWS sys-tems. Syllabic units, however, rival the performance of morphological units when used in KWS. By combining morphologi-cal, phonetic and syllabic segmentations, we demonstrate substantial performance gains. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.6658
http://aclweb.org/anthology/D/D14/D14-1095.pdf
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| 3 |
Morphological Segmentation for Keyword Spotting
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In: http://people.csail.mit.edu/regina/my_papers/kws14.pdf
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Morphological Segmentation for Keyword Spotting
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In: http://emnlp2014.org/papers/pdf/EMNLP2014095.pdf
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| 5 |
Estimating Document Frequencies in a Speech Corpus
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In: http://www.clsp.jhu.edu/%7Edamianos/asru11_df_stats.pdf
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| 6 |
HYPOTHESIS RANKING AND TWO-PASS APPROACHES FOR MACHINE TRANSLATION SYSTEM COMBINATION ∗
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In: http://www.clsp.jhu.edu/~damianos/Karakos_et_al_ICASSP10.pdf
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