| other,38-2-P82-1035,ak | problems for readers , such as misspelled <term> | words | </term> , missing <term> words </term> , poor | #14301 However, a great deal of natural language texts e.g., memos, rough drafts, conversation transcripts etc., have features that differ significantly from neat texts, posing special problems for readers, such as misspelledwords, missing words, poor syntactic construction, missing periods, etc. | |
| other,34-4-P82-1035,ak | </term> ) , fill in missing words ( <term> | ellipsis | </term> ) , and resolve <term> referents </term> | #14378 These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (ellipsis), and resolve referents (anaphora). | |
| other,41-4-P82-1035,ak | and resolve <term> referents </term> ( <term> | anaphora | </term> ) . This method of using expectations | #14385 These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (ellipsis), and resolve referents (anaphora). | |
| tool,21-5-P82-1035,ak | a working computer program called <term> | NOMAD | </term> , which understands scruffy <term> | #14409 This method of using expectations to aid the understanding of scruffy texts has been incorporated into a working computer program calledNOMAD, which understands scruffy texts in the domain of Navy messages. |
