| tech,10-1-C88-2162,ak | Computer programs so far have not fared well in modeling <term> language acquisition </term> . | #18594 Computer programs so far have not fared well in modelinglanguage acquisition. | |
| tech,4-2-C88-2162,ak | For one thing , <term> learning methodology </term> applicable in general domains does not readily lend itself in the linguistic domain . | #18601 For one thing,learning methodology applicable in general domains does not readily lend itself in the linguistic domain. | |
| model,3-3-C88-2162,ak | For another , <term> linguistic representation </term> used by <term> language processing systems </term> is not geared to <term> learning </term> . | #18620 For another,linguistic representation used by language processing systems is not geared to learning. | |
| tech,7-3-C88-2162,ak | For another , <term> linguistic representation </term> used by <term> language processing systems </term> is not geared to <term> learning </term> . | #18624 For another, linguistic representation used bylanguage processing systems is not geared to learning. | |
| tech,14-3-C88-2162,ak | For another , <term> linguistic representation </term> used by <term> language processing systems </term> is not geared to <term> learning </term> . | #18631 For another, linguistic representation used by language processing systems is not geared tolearning. | |
| model,4-4-C88-2162,ak | We introduced a new <term> linguistic representation </term> , the <term> Dynamic Hierarchical Phrasal Lexicon ( DHPL ) </term> [ Zernik88 ] , to facilitate <term> language acquisition </term> . | #18637 We introduced a newlinguistic representation, the Dynamic Hierarchical Phrasal Lexicon (DHPL) [Zernik88], to facilitate language acquisition. | |
| model,8-4-C88-2162,ak | We introduced a new <term> linguistic representation </term> , the <term> Dynamic Hierarchical Phrasal Lexicon ( DHPL ) </term> [ Zernik88 ] , to facilitate <term> language acquisition </term> . | #18641 We introduced a new linguistic representation, theDynamic Hierarchical Phrasal Lexicon ( DHPL ) [Zernik88], to facilitate language acquisition. | |
| tech,21-4-C88-2162,ak | We introduced a new <term> linguistic representation </term> , the <term> Dynamic Hierarchical Phrasal Lexicon ( DHPL ) </term> [ Zernik88 ] , to facilitate <term> language acquisition </term> . | #18654 We introduced a new linguistic representation, the Dynamic Hierarchical Phrasal Lexicon (DHPL) [Zernik88], to facilitatelanguage acquisition. | |
| tool,12-5-C88-2162,ak | From this , a <term> language learning model </term> was implemented in the program <term> RINA </term> , which enhances its own <term> lexical hierarchy </term> by processing examples in <term> context </term> . | #18669 From this, a language learning model was implemented in the programRINA, which enhances its own lexical hierarchy by processing examples in context. | |
| model,18-5-C88-2162,ak | From this , a <term> language learning model </term> was implemented in the program <term> RINA </term> , which enhances its own <term> lexical hierarchy </term> by processing examples in <term> context </term> . | #18675 From this, a language learning model was implemented in the program RINA, which enhances its ownlexical hierarchy by processing examples in context. | |
| other,24-5-C88-2162,ak | From this , a <term> language learning model </term> was implemented in the program <term> RINA </term> , which enhances its own <term> lexical hierarchy </term> by processing examples in <term> context </term> . | #18681 From this, a language learning model was implemented in the program RINA, which enhances its own lexical hierarchy by processing examples incontext. | |
| other,3-7-C88-2162,ak | First , how <term> linguistic concepts </term> are acquired from <term> training examples </term> and organized in a <term> hierarchy </term> ; this task was discussed in previous papers [ Zernik87 ] . | #18691 First, howlinguistic concepts are acquired from training examples and organized in a hierarchy; this task was discussed in previous papers [Zernik87]. | |
| other,8-7-C88-2162,ak | First , how <term> linguistic concepts </term> are acquired from <term> training examples </term> and organized in a <term> hierarchy </term> ; this task was discussed in previous papers [ Zernik87 ] . | #18696 First, how linguistic concepts are acquired fromtraining examples and organized in a hierarchy; this task was discussed in previous papers [Zernik87]. | |
| model,14-7-C88-2162,ak | First , how <term> linguistic concepts </term> are acquired from <term> training examples </term> and organized in a <term> hierarchy </term> ; this task was discussed in previous papers [ Zernik87 ] . | #18702 First, how linguistic concepts are acquired from training examples and organized in ahierarchy; this task was discussed in previous papers [Zernik87]. | |
| model,9-8-C88-2162,ak | Second , we show in this paper how a <term> lexical hierarchy </term> is used in predicting new <term> linguistic concepts </term> . | #18724 Second, we show in this paper how alexical hierarchy is used in predicting new linguistic concepts. | |
| other,16-8-C88-2162,ak | Second , we show in this paper how a <term> lexical hierarchy </term> is used in predicting new <term> linguistic concepts </term> . | #18731 Second, we show in this paper how a lexical hierarchy is used in predicting newlinguistic concepts. | |
| other,18-9-C88-2162,ak | Thus , a program does not stall even in the presence of a lexical unknown , and a <term> hypothesis </term> can be produced for covering that <term> lexical gap </term> . | #18752 Thus, a program does not stall even in the presence of a lexical unknown, and ahypothesis can be produced for covering that lexical gap. | |
| other,25-9-C88-2162,ak | Thus , a program does not stall even in the presence of a lexical unknown , and a <term> hypothesis </term> can be produced for covering that <term> lexical gap </term> . | #18759 Thus, a program does not stall even in the presence of a lexical unknown, and a hypothesis can be produced for covering thatlexical gap. |
