By McCurdy W.H.
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Additional resources for Absorption and Resonance Radiation in Excited Helium and the Structure of the 3889 Line
Original utterances having many informative words are preserved and utterances having few informative words are deleted or shortened. Important sentence extraction Summarization of each utterance 37 0205-21 Dynamic programming for summarizing multiple utterances * Initial and terminal symbols cannot be skipped. * Word concatenation score is not applied to the utterance boundaries. Recognition result 0% Summarization ratio 100% w2 w1
v1,1 v1,2 … v2,1 v2,2 … v3,1 v3,2 … Utterance 3 Utterance 2 Utterance 1 Summarization hypothesis 0205-22 Evaluation experiments 40% or 70% summarization ratio Random word selection LVCSR system Broadcast news utterances Automatic transcription (REC) Manual transcription (TRS) Summarization Module (Training corpora) Sentence compaction by human subjects Random word selection Random word selection of REC Automatic summarization of REC Automatic summarization of TRS Manual summarization of TRS Random word selection of TRS 38 0205-23 Word network of manual summarization results for evaluation Manual summarization results are merged into a network.
G. Extracting 7 words from 10 words: 70% 1 2 3 6 7 8 9 Summarized (compressed) sentence 32 0205-11 Target of summarized speech Maintaining original meanings of speech as much as possible Information extraction Significant (topic) words Linguistic correctness Linguistic likelihood Semantic correctness Dependency structure between words Word error exclusion Acoustic and linguistic reliability 0205-12 Summarization score Summarized sentence with M words V = v1 ,v2 ,…, vM Summarization score M S( V M) =Σ m=1 L(vm |… vm-1) Linguistic score + λI I (vm ) Significance (topic) score + λC C (vm ) Confidence score + λT Tr (vm ) Word concatenation score Trigram Amount of information Acoustic & linguistic reliability Word dependency probability 33 0205-13 Linguistic score Linguistic likelihood of word strings (bigram/trigram) in a summarized sentence log P (vm| vm-2 vm-1) Linguistic score is trained using a summarization corpus.
1142-1165, 2000 C. Hori, S. Furui, R. Malkin, H. Yu and A. Waibel: “Automatic summarization of English broadcast news speech,” Proc. Human Language Technology 2002, San Diego, pp. -D. Huang, A. -W. Hon: Spoken Language Processing, Prentice Hall PTR, New Jersey, 2001 S. Young and G.
Absorption and Resonance Radiation in Excited Helium and the Structure of the 3889 Line by McCurdy W.H.