An LTAG Perspective on Categorial Inference
نویسندگان
چکیده
This paper describes a system of categorial inference based on insights from Lexicalized Tree Adjoining Grammar (LTAG). LTAG is a tree-rewriting system and therefore deals with structural, not string, adjacency. When looked at from the logic perspective, the nodes of the trees become types as in a categorial grammar, with corresponding de-ductive connections between parent and daughter nodes. The resulting system is based on a hybrid logic, with one logic for building Partial Proof Trees, and the other for composing the partial proofs. We reexamine the use of structural modalities in categorial grammar from this perspective, concluding that the use of structural modalities can be considerably simpliied, or even eliminated in some cases. The generative power of the hybrid logic system is beyond context-free, as we demonstrate with a derivation of the cross-serial dependencies in Dutch. The system also inherits polynomial parsing from LTAG.
منابع مشابه
Linguistic Issues in Language Technology – LiLT
This article introduces Discourse Combinatory Categorial Grammar (DCCG) and shows how it can be used to generate multisentence paraphrases, flexibly incorporating both intraand intersentential discourse connectives. DCCG employs a simple, practical approach to extending Combinatory Categorial Grammar (CCG) to encompass coverage of discourse-level phenomena, which furthermore makes it possible t...
متن کاملDeriving Information Structure from Prosodically Marked Text with Lexicalized Tree Adjoining Grammars
This paper proposes a method for integrating intonation and information structure into the Lexicalized Tree Adjoining Grammar (LTAG) formalism. The method works fully within LTAG and requires no changes or additions to the basic formalism. From the existing CCG analysis, we denote boundary tones as lexical items and pitch accents as features of lexical items. We then show how prosodically marke...
متن کاملSupertags as Source Language Context in Hierarchical Phrase-Based SMT
Statistical machine translation (SMT) models have recently begun to include source context modeling, under the assumption that the proper lexical choice of the translation for an ambiguous word can be determined from the context in which it appears. Various types of lexical and syntactic features have been explored as effective source context to improve phrase selection in SMT. In the present w...
متن کاملComputing Discourse Semantics: The Predicate-Argument Semantics of Discourse Connectives in D-LTAG
Abstract. D-LTAG is a discourse-level extension of Lexicalized Tree-Adjoining Grammar (LTAG), in which discourse syntax is projected by different types of discourse connectives and discourse interpretation is a product of compositional rules, anaphora resolution, and inference. In this paper, we present a D-LTAG extension of ongoing work on an LTAG syntaxsemantic interface. First, we show how p...
متن کاملConjoinability and unification in Lambek categorial grammars
Recently, learning algorithms in Gold’s model have been proposed for some particular classes of classical categorial grammars [Kan98]. We are interested here in learning Lambek categorial grammars. In general grammatical inference uses unification and substitution. In the context of Lambek categorial grammars it seems appropriate to incorporate an operation on types based both on deduction (Lam...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998