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16: Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2017/18, 20.12.2017
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16 | 0:00:00 Starten 0:01:14 Multiworte 0:05:49 Single Pronunciation Dictionaries 0:09:03 Erweiterter Clusterbaum 0:10:36 Ergebnisse 0:15:57 Literaturempfehlung 0:17:27 Erinnerung: Fundamentalformel 0:18:33 Deterministische vs. Stochastische Sprachmodelle 0:20:50 Wörterratespiel 0:24:56 Wozu dient das Sprachmodell 0:27:11 Stochastische Sprachmodelle 0:32:08 Äquivalenzklassen 0:35:58 Schätzen von N-Gramm W'keiten 0:37:03 Beispiel 0:39:36 Bigramme und Trigramme 0:41:48 Das Bag-of-Words Experiment 0:43:03 Glättung von Sprachmodellparametern 0:44:50 Discounting 0:47:07 Interpolation (Lineare Glättung) 0:50:02 HMM für Interpolationsgewichte 1:07:25 Schätzung der Gewichte 1:08:55 Deleted Interpolation Basierend auf den ""Conditional Counts"" 1:11:07 Praktische Aspekte 1:13:55 Schätzen von Y 1:15:37 Allgemeines Rahmenwerk für Glättung 1:17:59 Weitere Notationen 1:23:02 M bestimmen 1:26:25 Good-Turing Discounting 1:28:30 Back-Off Sprachmodelle
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