| P08-1101 | segmentation and POS tagging using an | HMM-based approach | . Word information is used to |
| J11-1005 | segmentation and POS tagging using an | HMM-based approach | . Word information is used to |
| W00-1309 | and Brants ( 1998 ) proposed a | HMM-based approach | to recognise the syntactic structures |
| W10-4304 | first few turns . N-grams and | HMM-based approaches | have also been actively studied |
| D10-1018 | the punctuated sentence . Such a | HMM-based approach | has several draw - backs . First |
| W05-0404 | extraction , we tried using a simple | HMM-based approach | , a simplified version of 4.4 |
| J01-1002 | effective , although less so than the | HMM-based approach | . Note that the HMM-based integration |
| W04-1201 | dictionary . Shen et al 2003 proposes a | HMM-based approach | and two post-processing modules |
| P06-2125 | Alternatively , we compared the | HMM-based approach | base on word format and some |
| W15-3106 | spelling correction . They used | HMM-based approach | to segment sentences and generate |
| W05-0404 | approaches . HMM is the simple | HMM-based approach | , IF is the simplified version |
| N06-2021 | broadcast news speech . We present an | HMM-based approach | and a maximum entropy model for |
| N04-1018 | joint tree-based modeling and an | HMM-based approach | . Moreover , our system uses |
| M98-1009 | Walkthrough BBN 's Identifinder ( TM ) | HMM-based approach | to named entity recognition did |
| W10-4356 | number of preceding observations . | HMM-based approaches | make use of the Markov assumption |
| D13-1185 | .43 F1 . This suggests that the | HMM-based approach | stumbles more on spurious documents |
| W98-1117 | with the precision of a standard | HMM-based approach | trained on the same data , but |
| W09-1707 | compatibility of DEDICOM with the standard | HMM-based approach | to part-ofspeech tagging , but |
| P06-2125 | further investigations . <title> An | HMM-Based Approach | to Automatic Phrasing for Mandarin |
| W08-0608 | We also show comparisons to an | HMM-based approach | , based on LingPipe 3.4.0.6 This |
