Islamic archeology in Indonesia.
Islamic archeology in Indonesia.
Legal reform, law enforcement, and human rights protection in Indonesia; collection of articles.
PERUBAHAN UNDANG-UNDANG KEPAILITAN DAN PERLUNYA UNDANG-
UNDANG RESTRUKTURISASI UTANG ... sehingga memungkinkan munculnya
perusahaan- perusahaan yang besar yang produktif dan sehat yang membawa ...
In Indian context.
There are many users and owners of different data involved in the building of
Geographical Information System (GIS). It is the cartography who has always
coordinating all sources of inputs and responsible for the concept and design of
the ...
Sources of Cephalopoda, (squids, cuttlefishes, octopuses, nautiluses, ammonites, and other related forms), Indonesia's prospective commodities.
Sources of Cephalopoda, (squids, cuttlefishes, octopuses, nautiluses, ammonites, and other related forms), Indonesia's prospective commodities.
The Generalized LR parsing algorithm (some call it "Tomita's algorithm") was originally developed in 1985 as a part of my Ph.D thesis at Carnegie Mellon University. When I was a graduate student at CMU, I tried to build a couple of natural language systems based on existing parsing methods. Their parsing speed, however, always bothered me. I sometimes wondered whether it was ever possible to build a natural language parser that could parse reasonably long sentences in a reasonable time without help from large mainframe machines. At the same time, I was always amazed by the speed of programming language compilers, because they can parse very long sentences (i.e., programs) very quickly even on workstations. There are two reasons. First, programming languages are considerably simpler than natural languages. And secondly, they have very efficient parsing methods, most notably LR. The LR parsing algorithm first precompiles a grammar into an LR parsing table, and at the actual parsing time, it performs shift-reduce parsing guided deterministically by the parsing table. So, the key to the LR efficiency is the grammar precompilation; something that had never been tried for natural languages in 1985. Of course, there was a good reason why LR had never been applied for natural languages; it was simply impossible. If your context-free grammar is sufficiently more complex than programming languages, its LR parsing table will have multiple actions, and deterministic parsing will be no longer possible.
The Generalized LR parsing algorithm (some call it "Tomita's algorithm") was originally developed in 1985 as a part of my Ph.D thesis at Carnegie Mellon University.
