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In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we surv...
Identifying entailment relations between predicates is an important part of applied semantic inference. In this article we propose a global inference algorithm that learns such entailment rules. Fir...
We present a new data-driven methodology for simulation-based dialogue strategy learning, which allows us to address several problems in the field of automatic optimization of dialogue strateg...
In this study, optimization models using genetic algorithms (GAs) are proposed to study the configuration of vowels and tone systems. As in previous explanatory models that have been used to study vow...
Optimality Theory (OT) is a model of language that combines aspects of generative and connectionist linguistics. It is unique in the field in its use of a rank ordering on constraints, which is used t...
Linguistic Optimization     Linguistic Optimization       2015/6/15
Optimality Theory (OT) is a model of language that combines aspects of generative and connectionist linguistics. It is unique in the field in its use of a rank ordering on constraints, which is used t...
The early Germanic languages are characterized by fixed initial stress, free quantity, and a preference for moraic trochees, left-headed bimoraic feet consisting either of two light syllables (LL) or ...
Suppose the phonological rules/constraints of the language are such that underlying /A/ and /B/ lead to to the same output [A].
According to the neogrammarians and de Saussure, all linguistic change is either sound change, analogy, or borrowing.1 Meillet (1912) identified a class of changes that don’t fit into any of these thr...
Several algorithms have been developed in the past that attempt to resolve categorial ambiguities in natural language text without recourse to syntactic or semantic level information. An innovative me...

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