Language acquisition: learning phrases in context
Machine learning: a guide to current research
Strategies in language acquisition: learning phrases in context
Strategies in language acquisition: learning phrases in context
Talking to UNIX in English: an overview of UC
Communications of the ACM
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
Regularity and idiomicity in grammatical constructions: The case of
Regularity and idiomicity in grammatical constructions: The case of
A Knowledge-Based Approach to Language Production
A Knowledge-Based Approach to Language Production
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Coping with extragrammaticality
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Encoding and acquiring meanings for figurative phrases
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Towards a self-extending lexicon
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Disambiguation and language acquisition through the phrasal lexicon
COLING '86 Proceedings of the 11th coference on Computational linguistics
Incremental processing and the hierarchical lexicon
Computational Linguistics - Special issue on inheritance: I
Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction
IEEE Transactions on Knowledge and Data Engineering
Feed-forward and recurrent neural networks for source code informal information analysis
Journal of Software Maintenance: Research and Practice
Computational Linguistics - Special issue on web as corpus
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Language acquisition: coping with lexical gaps
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Default reasoning in natural language processing
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Language acquisition: learning a hierarchy of phrases
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
| Hi-index | 0.00 |
Lexical representation so far has not been extensively investigated in regard to language acquisition. Existing computational linguistic systems assume that text analysis and generation take place in conditions of complete lexical knowledge. That is, no unknown elements are encountered in processing text. It turns out however, that productive as well as non-productive word combinations require adequate consideration. Thus, assuming the existence of a complete lexicon at the outset is unrealistic, especially when considering such word combinations.Three new problems regarding the structure and the contents of the phrasal lexicon arise when considering the need for dynamic acquisition. First, when an unknown element is encountered in text, information must be extracted in spite of the existence of an unknown. Thus, generalized lexical patterns must be employed in forming an initial hypothesis, in absence of more specific patterns. Second, senses of single words and particles must be utilized in forming new phrases. Thus the lexicon must contain information about single words, which can then supply clues for phrasal pattern analysis and application. Third, semantic clues must be used in forming new syntactic patterns. Thus, lexical entries must appropriately integrate syntax and semantics.We have employed a Dynamic Hierarchical Phrasal Lexicon (DHPL) which has three features: (a) lexical entries are given as entire phrases and not as single words, (b) lexical entries are organized as a hierarchy by generality, and (c) there is not separate body of grammar rules: grammar is encoded within the lexical hierarchy. A language acquisition model, embodied by the program RINA, uses DHPL in acquiring new lexical entries from examples in context through a process of hypothesis formation and error correction. In this paper we show how the proposed lexicon supports language acquisition.