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Yael Sygal

dblp:72/3951 · also Yael Cohen-Sygal · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 4 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 50% Language models and text generation · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › constraint-based grammar
unification-based grammar
0.112006
Partially Specified Signatures: A Vehicle for Grammar Modularity · ACL 2006

Methods — techniques the papers use, named apart from their topics

signature modules · 0.1
YearPublicationVenuePosition
2011 Towards Modular Development of Typed Unification Grammars
abstract
Development of large-scale grammars for natural languages is a complicated endeavor: Grammars are developed collaboratively by teams of linguists, computational linguists, and computer scientists, in a process very similar to the development of large-scale software. Grammars are written in grammatical formalisms that resemble very-high-level programming languages, and are thus very similar to computer programs. Yet grammar engineering is still in its infancy: Few grammar development environments support sophisticated modularized grammar development, in the form of distribution of the grammar development effort, combination of sub-grammars, separate compilation and automatic linkage, information encapsulation, and so forth. This work provides preliminary foundations for modular construction of (typed) unification grammars for natural languages. Much of the information in such formalisms is encoded by the type signature, and we subsequently address the problem through the distribution of the signature among the different modules. We define signature modules and provide operators of module combination. Modules may specify only partial information about the components of the signature and may communicate through parameters, similarly to function calls in programming languages. Our definitions are inspired by methods and techniques of programming language theory and software engineering and are motivated by the actual needs of grammar developers, obtained through a careful examination of existing grammars. We show that our definitions meet these needs by conforming to a detailed set of desiderata. We demonstrate the utility of our definitions by providing a modular design of the HPSG grammar of Pollard and Sag.
Yael Sygal, Shuly Wintner
Comput. Linguistics1
2007 The Non-associativity of Polarized Tree-Based Grammars
Yael Sygal, Shuly Wintner
CICLing1
2006 Partially Specified Signatures: A Vehicle for Grammar Modularity
abstract
This work provides the essential foundations for modular construction of (typed) unification grammars for natural languages. Much of the information in such grammars is encoded in the signature, and hence the key is facilitating a modularized development of type signatures. We introduce a definition of signature modules and show how two modules combine. Our definitions are motivated by the actual needs of grammar developers obtained through a careful examination of large scale grammars. We show that our definitions meet these needs by conforming to a detailed set of desiderata.
Yael Sygal, Shuly Wintner
ACL1
2006 Finite-State Registered Automata for Non-Concatenative Morphology
abstract
We introduce finite-state registered automata (FSRAs), a new computational device within the framework of finite-state technology, specifically tailored for implementing non-concatenative morphological processes. This model extends and augments existing finite-state techniques, which are presently not optimized for describing this kind of phenomena. We first define the model and discuss its mathematical and computational properties. Then, we provide an extended regular language whose expressions denote FSRAs. Finally, we exemplify the utility of the model by providing several examples of complex morphological and phonological phenomena, which are elegantly implemented with FSRAs.
Yael Sygal, Shuly Wintner
Comput. Linguistics1