other,18-9-C88-2162,bq |
<term>
lexical unknown
</term>
, and a
<term>
|
hypothesis
|
</term>
can be produced for covering that
|
#15905
Thus, a program does not stall even in the presence of a lexical unknown, and ahypothesis can be produced for covering that lexical gap. |
tool,8-7-C88-2162,bq |
linguistic concepts
</term>
are acquired from
<term>
|
training examples
|
</term>
and organized in a
<term>
hierarchy
|
#15849
First, how linguistic concepts are acquired fromtraining examples and organized in a hierarchy; this task was discussed in previous papers [Zernik87]. |
other,3-7-C88-2162,bq |
identified two tasks : First , how
<term>
|
linguistic concepts
|
</term>
are acquired from
<term>
training examples
|
#15844
First, howlinguistic concepts are acquired from training examples and organized in a hierarchy; this task was discussed in previous papers [Zernik87]. |
other,16-8-C88-2162,bq |
hierarchy
</term>
is used in predicting new
<term>
|
linguistic concepts
|
</term>
. Thus , a
<term>
program
</term>
does
|
#15884
Second, we show in this paper how a lexical hierarchy is used in predicting newlinguistic concepts. |
other,4-4-C88-2162,bq |
learning
</term>
. We introduced a new
<term>
|
linguistic representation
|
</term>
, the
<term>
Dynamic Hierarchical Phrasal
|
#15790
We introduced a newlinguistic representation, the Dynamic Hierarchical Phrasal Lexicon (DHPL) [Zernik88], to facilitate language acquisition. |
other,18-5-C88-2162,bq |
RINA
</term>
, which enhances its own
<term>
|
lexical hierarchy
|
</term>
by processing examples in context
|
#15828
From this, a language learning model was implemented in the program RINA, which enhances its ownlexical hierarchy by processing examples in context. |
tool,12-5-C88-2162,bq |
</term>
was implemented in the program
<term>
|
RINA
|
</term>
, which enhances its own
<term>
lexical
|
#15822
From this, a language learning model was implemented in the programRINA, which enhances its own lexical hierarchy by processing examples in context. |
other,4-2-C88-2162,bq |
acquisition
</term>
. For one thing ,
<term>
|
learning methodology
|
</term>
applicable in
<term>
general domains
|
#15754
For one thing,learning methodology applicable in general domains does not readily lend itself in the linguistic domain. |
other,14-7-C88-2162,bq |
examples
</term>
and organized in a
<term>
|
hierarchy
|
</term>
; this task was discussed in previous
|
#15855
First, how linguistic concepts are acquired from training examples and organized in ahierarchy; this task was discussed in previous papers [Zernik87]. |
tech,21-4-C88-2162,bq |
</term>
[ Zernik88 ] , to facilitate
<term>
|
language acquisition
|
</term>
. From this , a
<term>
language learning
|
#15807
We introduced a new linguistic representation, the Dynamic Hierarchical Phrasal Lexicon (DHPL) [Zernik88], to facilitatelanguage acquisition. |
other,3-9-C88-2162,bq |
linguistic concepts
</term>
. Thus , a
<term>
|
program
|
</term>
does not stall even in the presence
|
#15890
Thus, aprogram does not stall even in the presence of a lexical unknown, and a hypothesis can be produced for covering that lexical gap. |
other,13-9-C88-2162,bq |
not stall even in the presence of a
<term>
|
lexical unknown
|
</term>
, and a
<term>
hypothesis
</term>
can
|
#15900
Thus, a program does not stall even in the presence of alexical unknown, and a hypothesis can be produced for covering that lexical gap. |
other,8-4-C88-2162,bq |
linguistic representation
</term>
, the
<term>
|
Dynamic Hierarchical Phrasal Lexicon ( DHPL )
|
</term>
[ Zernik88 ] , to facilitate
<term>
|
#15794
We introduced a new linguistic representation, theDynamic Hierarchical Phrasal Lexicon ( DHPL ) [Zernik88], to facilitate language acquisition. |
other,4-5-C88-2162,bq |
acquisition
</term>
. From this , a
<term>
|
language learning model
|
</term>
was implemented in the program
<term>
|
#15814
From this, alanguage learning model was implemented in the program RINA, which enhances its own lexical hierarchy by processing examples in context. |
other,3-3-C88-2162,bq |
linguistic domain
</term>
. For another ,
<term>
|
linguistic representation
|
</term>
used by
<term>
language processing
|
#15773
For another,linguistic representation used by language processing systems is not geared to learning. |
other,8-2-C88-2162,bq |
learning methodology
</term>
applicable in
<term>
|
general domains
|
</term>
does not readily lend itself in the
|
#15758
For one thing, learning methodology applicable ingeneral domains does not readily lend itself in the linguistic domain. |
other,17-2-C88-2162,bq |
does not readily lend itself in the
<term>
|
linguistic domain
|
</term>
. For another ,
<term>
linguistic representation
|
#15767
For one thing, learning methodology applicable in general domains does not readily lend itself in thelinguistic domain. |
other,25-9-C88-2162,bq |
</term>
can be produced for covering that
<term>
|
lexical gap
|
</term>
. Although every
<term>
natural language
|
#15912
Thus, a program does not stall even in the presence of a lexical unknown, and a hypothesis can be produced for covering thatlexical gap. |
tech,9-1-C88-2162,bq |
programs so far have not fared well in
<term>
|
modeling language acquisition
|
</term>
. For one thing ,
<term>
learning methodology
|
#15746
Computer programs so far have not fared well inmodeling language acquisition. |
tech,7-3-C88-2162,bq |
linguistic representation
</term>
used by
<term>
|
language processing systems
|
</term>
is not geared to
<term>
learning
</term>
|
#15777
For another, linguistic representation used bylanguage processing systems is not geared to learning. |