| 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,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,19-4-P82-1035,ak | context </term> , constrain the possible <term> | word-senses | </term> of <term> words </term> with multiple | #14363 These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possibleword-senses of words with multiple meanings (ambiguity), fill in missing words (ellipsis), and resolve referents (anaphora). | |
| other,21-3-P82-1035,ak | knowledge of surface English and on <term> | world knowledge | </term> of the situation being described | #14336 Our solution to these problems is to make use of expectations, based both on knowledge of surface English and onworld knowledge of the situation being described. |
