When compared with the manual labor of crafting parsers, most parser generators currently available are not flexible and powerful enough. They prohibit the free combination of various parsing algorithms/machines, restrict the form of grammar rules, and provide limited support for semantic actions and nonterminals’ fields. In this thesis, we present a parser generator Multi-Machine Parsing (MMP) that solves these three problems. MMP features modular design, regular expression (regex) rules, and object-oriented nonterminals, thus providing users with much more freedom to compose their grammars and to tune the performance of the generated parsers
Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries t...
The recovery of structure from flat sequences of input data is a problem that almost all programs ne...
This paper presents the reasoning behind the selection and design of a parser for the Lingo project ...
We present a new parser generator called ape-riot based on grammar transformation. This ap-proach re...
The multi-axiom grammars (MAG) are alternatives to the single-axiom context free grammars (CFG) and ...
Parsing natural language is an attempt to discover some structure in a text (or textual representati...
TCD-CS-1998-19Traditional parser generators are designed to produce highly optimised parsers for gra...
Many syntactic parsing strategies for machine translation systems are based entirely on context-fr...
Parsing is the process of analysing an input string in order to extract a structured representation ...
AbstractMulti-axiom grammars (MAG) are alternatives to single-axiom context free grammars (CFG) and ...
This article describes a compiler generator, called Mímico, that outputs code based on the use of mo...
Identifying multiword expressions (MWEs) in a sentence in order to ensure their proper processing in...
Deep parsing is the fundamental process aiming at the representation of the syntactic structure of p...
In multilingual semantic representation, the interaction between humans and computers faces the chal...
Machine translation should be semanticalty-accurate, linguistically-principled, user-interactive, an...
Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries t...
The recovery of structure from flat sequences of input data is a problem that almost all programs ne...
This paper presents the reasoning behind the selection and design of a parser for the Lingo project ...
We present a new parser generator called ape-riot based on grammar transformation. This ap-proach re...
The multi-axiom grammars (MAG) are alternatives to the single-axiom context free grammars (CFG) and ...
Parsing natural language is an attempt to discover some structure in a text (or textual representati...
TCD-CS-1998-19Traditional parser generators are designed to produce highly optimised parsers for gra...
Many syntactic parsing strategies for machine translation systems are based entirely on context-fr...
Parsing is the process of analysing an input string in order to extract a structured representation ...
AbstractMulti-axiom grammars (MAG) are alternatives to single-axiom context free grammars (CFG) and ...
This article describes a compiler generator, called Mímico, that outputs code based on the use of mo...
Identifying multiword expressions (MWEs) in a sentence in order to ensure their proper processing in...
Deep parsing is the fundamental process aiming at the representation of the syntactic structure of p...
In multilingual semantic representation, the interaction between humans and computers faces the chal...
Machine translation should be semanticalty-accurate, linguistically-principled, user-interactive, an...
Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries t...
The recovery of structure from flat sequences of input data is a problem that almost all programs ne...
This paper presents the reasoning behind the selection and design of a parser for the Lingo project ...