| C80-1072 | speak with perfection . Eventually | natural language systems | will have to be able to process |
| A83-1007 | facilitated the construction of small | natural language systems | . On the other hand , they impeded |
| A88-1000 | important in the next generation of | natural language systems | . The lecture notes will include |
| A88-1034 | explosion of syntactic parses in | natural language systems | is to have the parsing module |
| A83-1007 | of our involvement with large | natural language systems | , we have long been concerned |
| C00-1031 | links ( 0 < h < 100 ) . q of | natural language systems | to correctly determine coreferential |
| C73-2020 | sequences of RADICALS to sentences of | Natural Language Systems | . They can be reduced to a minimum |
| C73-2020 | more than fifty still existing | natural language systems | . On the contrary meanings , |
| C73-2020 | limited in syntactic patterns , | natural language systems | are easy to employ because of |
| C73-2020 | especially in content-related | natural language systems | is cooked down to the essentials |
| A83-1007 | domain dependencies from two large | natural language systems | . One of these is a system for |
| A83-1007 | viewpoint , seems inherent in | natural language systems | . One tool we have for managing |
| C80-1027 | as is done in some of the other | natural language systems | . " Welcome , " " Okay , " " |
| A88-1000 | relevant to existing practical | natural language systems | , such as interfaces to database |
| A88-1027 | robust . This is especially true of | natural language systems | , and , in particular , those |
| A97-1051 | experiences in building and porting | natural language systems | for new domains , we have come |
| C82-1014 | modified portions of two large | natural language systems | so that all domain-specific knowledge |
| A83-1007 | dependencies within two large | natural language systems | , one for generating a tabular |
| A88-1027 | are applicable to large-scale | natural language systems | in general : performance , robustness |
| A88-1027 | are applicable to large-scale | natural language systems | in general : performance , robustness |
