Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Michael Niv"'
Autor:
John Maloney, Michael Niv
Publikováno v:
SEMITIC@COLING
We describe a fast, high-performance name recognizer for Arabic texts. It combines a pattern-matching engine and supporting data with a morphological analysis component. The role of the morphological analysis in accurate name recognition is discussed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::901ff55fd21f43424f03d1f3e050c357
https://doi.org/10.3115/1621753.1621756
https://doi.org/10.3115/1621753.1621756
Publikováno v:
ANLP
Over the course of two summer projects, we developed a general purpose natural language system which advances the state-of-the-art in several areas. The system contains demonstrated advancements in part-of-speech tagging, end-of-sentence detection, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d34a43a64e88db8c223e4e482088459
https://doi.org/10.3115/974281.974295
https://doi.org/10.3115/974281.974295
Autor:
Michael Niv
Publikováno v:
ACL
Considering the speed in which humans resolve syntactic ambiguity, and the overwhelming evidence that syntactic ambiguity is resolved through selection of the analysis whose interpretation is the most `sensible', one comes to the conclusion that inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09fb715a27ded00fa553272747e2d5e6
Autor:
Michael Niv
Publikováno v:
ACL
Consideration of when Right Association works and when it fails lead to a restatement of this parsing principle in terms of the notion of heaviness. A computational investigation of a syntactically annotated corpus provides evidence for this proposal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9172048192c372cecd768998c2623a5f
https://doi.org/10.3115/981967.982007
https://doi.org/10.3115/981967.982007
Conference
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