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Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
This paper explores lexicographic semirings and their application to problems in speech and language processing. Specifically, we present two instantiations of binary lexicographic semirings, one invo...
Most previous work on trainable language generation has focused on two paradigms: (a) using a generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted gene...
We study constituent parsing of German, a morphologically rich and less-configurational language. We use a probabilistic context-free grammar treebank grammar that has been adapted to the morp...
We investigate the differences between language models compiled from original target-language texts and those compiled from texts manually translated to the target language. Corroborating established ...
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
The Levenshtein distance is a simple distance metric derived from the number of edit operations needed to transform one string into another. This metric has received recent attention as a means of aut...
This article investigates the effects of different degrees of contextual granularity on language model performance. It presents a new language model that combines clustering and half-contextualization...
The goal of this chapter is to argue that Romanian has two genders, rather than three as traditionally proposed, and in doing so to provide a comprehensive synchronic account of gender assignment in...
This study presents and analyzes the comprehension of relative clauses in child and adult speakers of Russian, comparing monolingual controls with Russian heritage speakers (HSs) who are Englishdomi...
Quantificational expressions, like “every student”, “no teachers”, or “some of the books”, provide us with the power to generalize, to express properties and relations that hold not just of individu...
Topic models can yield insight into how depressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the analysis of linguistic sig...
Disfluencies include editing terms such as uh and umas well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research focused ...
The Language Faculty     Language Faculty       2015/9/2
A review essay on the human visual system can safely presuppose that there is such a system, with homologs in other species, and get on with describing what scientists have learned about how retinal i...

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