other,11-2-P82-1035,bq |
However , a great deal of
<term>
natural language texts
</term>
e.g. ,
<term>
memos
</term>
, rough
<term>
drafts
</term>
,
<term>
conversation transcripts
</term>
etc. , have features that differ significantly from
<term>
neat texts
</term>
, posing special problems for readers , such as
<term>
misspelled words
</term>
,
<term>
missing words
</term>
,
<term>
poor syntactic construction
</term>
,
<term>
missing periods
</term>
, etc .
|
#12985
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, missing words, poor syntactic construction, missing periods, etc. |
other,14-2-P82-1035,bq |
However , a great deal of
<term>
natural language texts
</term>
e.g. ,
<term>
memos
</term>
, rough
<term>
drafts
</term>
,
<term>
conversation transcripts
</term>
etc. , have features that differ significantly from
<term>
neat texts
</term>
, posing special problems for readers , such as
<term>
misspelled words
</term>
,
<term>
missing words
</term>
,
<term>
poor syntactic construction
</term>
,
<term>
missing periods
</term>
, etc .
|
#12988
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, missing words, poor syntactic construction, missing periods, etc. |
other,10-3-P82-1035,bq |
Our solution to these problems is to make use of
<term>
expectations
</term>
, based both on knowledge of
<term>
surface English
</term>
and on
<term>
world knowledge
</term>
of the situation being described .
|
#13036
Our solution to these problems is to make use of expectations , based both on knowledge of surface English and on world knowledge of the situation being described. |
other,19-4-P82-1035,bq |
These
<term>
syntactic and semantic expectations
</term>
can be used to figure out
<term>
unknown words
</term>
from
<term>
context
</term>
, constrain the possible
<term>
word-senses
</term>
of
<term>
words with multiple meanings
</term>
(
<term>
ambiguity
</term>
) , fill in
<term>
missing words
</term>
(
<term>
elllpsis
</term>
) , and resolve
<term>
referents
</term>
(
<term>
anaphora
</term>
) .
|
#13074
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 (elllpsis), and resolve referents (anaphora). |
other,39-4-P82-1035,bq |
These
<term>
syntactic and semantic expectations
</term>
can be used to figure out
<term>
unknown words
</term>
from
<term>
context
</term>
, constrain the possible
<term>
word-senses
</term>
of
<term>
words with multiple meanings
</term>
(
<term>
ambiguity
</term>
) , fill in
<term>
missing words
</term>
(
<term>
elllpsis
</term>
) , and resolve
<term>
referents
</term>
(
<term>
anaphora
</term>
) .
|
#13094
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 (elllpsis), and resolve referents (anaphora). |
other,4-5-P82-1035,bq |
This method of using
<term>
expectations
</term>
to aid the understanding of
<term>
scruffy texts
</term>
has been incorporated into a working
<term>
computer program
</term>
called
<term>
NOMAD
</term>
, which understands
<term>
scruffy texts
</term>
in the domain of Navy messages .
|
#13103
This method of using expectations to aid the understanding of scruffy texts has been incorporated into a working computer program called NOMAD, which understands scruffy texts in the domain of Navy messages. |