| other,17-3-P03-1051,ak | morpheme sequence </term> for a given <term> | input | </term> . The <term> language model </term> | #4689 The algorithm uses a trigram language model to determine the most probable morpheme sequence for a given input . | |
| other,35-1-P03-1051,ak | denotes zero or more occurrences of a <term> | morpheme | </term> ) . Our method is seeded by a <term> | #4637 We approximate Arabic's rich morphology by a model that a word consists of a sequence of morphemes in the pattern prefix*-stem-suffix* (* denotes zero or more occurrences of a morpheme ). | |
| other,32-5-P03-1051,ak | parameters </term> with the expanded <term> | vocabulary | </term> and <term> training corpus </term> . | #4740 To improve the segmentation accuracy, we use an unsupervised algorithm for automatically acquiring new stems from a 155 million word unsegmented corpus, and re-estimate the model parameters with the expanded vocabulary and training corpus. | |
| tech,9-7-P03-1051,ak | state-of-the-art performance and the <term> | algorithm | </term> can be used for many <term> highly | #4776 We believe this is a state-of-the-art performance and the algorithm can be used for many highly inflected languages provided that one can create a small manually segmented corpus of the language of interest. | |
| other,11-1-P03-1051,ak | morphology </term> by a model that a <term> | word | </term> consists of a sequence of <term> morphemes | #4613 We approximate Arabic's rich morphology by a model that a word consists of a sequence of morphemes in the pattern prefix*-stem-suffix* (* denotes zero or more occurrences of a morpheme). | |
| other,30-7-P03-1051,ak | manually segmented corpus </term> of the <term> | language | </term> of interest . A central problem | #4797 We believe this is a state-of-the-art performance and the algorithm can be used for many highly inflected languages provided that one can create a small manually segmented corpus of the language of interest. | |
| other,20-1-P03-1051,ak | sequence of <term> morphemes </term> in the <term> | pattern | </term> prefix * - stem-suffix * ( * denotes | #4622 We approximate Arabic's rich morphology by a model that a word consists of a sequence of morphemes in the pattern prefix*-stem-suffix* (* denotes zero or more occurrences of a morpheme). | |
| tech,1-3-P03-1051,ak | unsegmented Arabic corpus </term> . The <term> | algorithm | </term> uses a <term> trigram language model | #4673 The algorithm uses a trigram language model to determine the most probable morpheme sequence for a given input. |
