| D09-1078 | experiments on seven language | model smoothing | methods . Five of these are well-known |
| J03-3003 | can be removed . In Section 4 , | model smoothing | will be motivated from a more |
| D12-1107 | 3.2 Less Memory Many language | model smoothing | strategies , including modified |
| H92-1036 | sex-dependentmodeling \ -LSB- 5 \ -RSB- . CD | model smoothing | was found to reduce the word |
| N04-1039 | , the best performing language | model smoothing | technique . This justification |
| P13-1088 | freedom and also allows for some | model smoothing | . An alternative approach is |
| D09-1078 | N-gram selection for seven language | model smoothing | meth - ods . For the best three |
| P15-2103 | effect of our proposed language | model smoothing | model using datasets from Twit |
| P10-2022 | Croft ( 2001 ) with the document | model smoothing | parameter optimally set at 0.8 |
| P15-2103 | with regularization for language | model smoothing | on social networks , using both |
| H91-1053 | preliminary results obtained for | model smoothing | , speaker adaptation and sex-dependent |
| P15-2103 | Then we introduce the language | model smoothing | with social regularization and |
| D12-1116 | topic signatures and use it for | model smoothing | . This model turns out to be |
| P15-2103 | document structure based language | model smoothing | is another direction to investigate |
| H92-1036 | Bayesian learning can be used for CD | model smoothing | \ -LSB- 5 \ -RSB- . This approach |
| D09-1078 | applied to a number of language | model smoothing | methods , including the widely-used |
| P06-1129 | perform tasks such as language | model smoothing | and word clustering , but to |
| P06-1129 | Dekang Lin , 1998 ) and language | model smoothing | ( Essen and Steinbiss , 1992 |
| P15-2103 | have proposed a balanced language | model smoothing | framework with optimization , |
| H92-1036 | year we reported results for CD | model smoothing | , speaker adaptation , and sex-dependentmodeling |
