| C02-1096 | In our simulations , we use a 7 | word prediction | window . Ksr is not a function |
| C02-1096 | section 2 , we describe the AAC | word prediction | task . In section 3 , we describe |
| A00-2017 | yield significant improvements in | word prediction | tasks . 1 Introduction The task |
| A00-2017 | paper presents a new approach to | word prediction | tasks . For each word of interest |
| C02-1096 | experiments in integration In a working | word prediction | system , compounds are obviously |
| C00-1081 | second figure . Finally , the | word prediction | model predicts the next word |
| C02-1096 | integration of compound and simple | word prediction | . Finally , in section 7 , we |
| C02-1096 | integrating compound and simple | word prediction | . 1 Introduction N-gram language |
| C02-1096 | word predictions within the AAC | word prediction | task . The remainder of this |
| C02-1096 | compound predictions and simple | word predictions | within the AAC word prediction |
| C02-1096 | preliminary results obtained with a | word prediction | model integrating compound and |
| A00-2017 | of attention . 4 . To evaluate | word prediction | as a simple language model . |
| C02-1096 | compounds in an AAC system Abstract In | word prediction | systems for augmentative and |
| A00-2017 | the advantage of using those on | word prediction | task . We have argued that the |
| A00-2017 | <title> A Classification Approach to | Word Prediction | * </title> Even-Zohar Abstract |
| C04-1167 | word-tag partial prefix followed by | word prediction | and then repeating the procedure |
| A00-2017 | context . We present an approach to | word prediction | that is based on learning a representation |
| C02-1149 | fourth keys , the performance in | word prediction | will clearly be bad . The problem |
| A00-2017 | Here we use SNoW for the task of | word prediction | ; a representation is learned |
| C02-1096 | system in the context of the AAC | word prediction | task , we believe that the class-based |
