| other,27-2-P82-1035,ak | that differ significantly from neat <term> | texts | </term> , posing special problems for readers | #14290 However, a great deal of natural language texts e.g., memos, rough drafts, conversation transcripts etc., have features that differ significantly from neattexts, posing special problems for readers, such as misspelled words, missing words, poor syntactic construction, missing periods, etc. | |
| 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. | |
| other,41-2-P82-1035,ak | misspelled <term> words </term> , missing <term> | words | </term> , poor <term> syntactic construction | #14304 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 misspelled words, missingwords, poor syntactic construction, missing periods, etc. | |
| other,14-4-P82-1035,ak | used to figure out unknown words from <term> | context | </term> , constrain the possible <term> word-senses | #14358 These syntactic and semantic expectations can be used to figure out unknown words fromcontext, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (ellipsis), and resolve referents (anaphora). |
