Name
Abstract | ||
|---|---|---|
This paper explains our developing Corpus of Japanese classroom Lecture speech Contents (henceforth, denoted as CJLC). Increasing e-Learning contents demand a sophisticated interactive browsing system for themselves, however, existing tools do not satisfy such a requirement. Many researches including large vocabulary continuous speech recognition and extraction of important sentences against lecture contents are necessary in order to realize the above system. CJLC is designed as their fundamental basis, and consists of speech, transcriptions, and slides that were collected in real university classroom lectures. This paper also explains the difference about disfluency acts between classroom lectures and academic presentations. |
Year | Venue | Keywords |
|---|---|---|
2008 | SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008 | satisfiability |
Field | DocType | Citations |
Speech corpus,Computer science,Speech recognition,Natural language processing,Artificial intelligence,Linguistics | Conference | 3 |
PageRank | References | Authors |
0.44 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masatoshi Tsuchiya | 1 | 51 | 11.59 |
| Satoru Kogure | 2 | 19 | 6.83 |
| Hiromitsu Nishizaki | 3 | 163 | 29.49 |
| Kengo Ohta | 4 | 12 | 2.55 |
| Seiichi Nakagawa | 5 | 598 | 104.03 |