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Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain
map lexical syntactic
2017/9/1
Language comprehension involves the simultaneous processing of information at the phonological, syntactic, and lexical level. We track these three distinct streams of information in the brain by using...
Representing Meaning with a Combination of Logical and Distributional Models
semantic Distributional Models
2017/4/6
NLP tasks differ in the semantic information they require, and at this time no single semantic
representation fulfills all requirements. Logic-based representations characterize sentence
structure, ...
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
Computational Models Language Phenomena
2016/7/7
Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research
published to...
SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation
Evaluating Semantic Models Similarity Estimation
2016/2/23
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such a...
Timing in turn-taking and its implications for processing models of language
turn-taking, conversation language processing
2015/12/18
The core niche for language use is in verbal interaction, involving the rapid exchange
of turns at talking. This paper reviews the extensive literature about this system, adding
new statistical anal...
Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning
Concrete Models Empirical Evaluations Categorical Compositional Distributional Model
2015/9/15
Modeling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. The categorical model of Clark, Coecke, and Sadrzadeh (2008) and C...
Probabilistic Distributional Semantics with Latent Variable Models
Distributional Semantics Latent Variable Models
2015/9/14
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our fra...
Authorship attribution deals with identifying the authors of anonymous texts. Traditionally,
research in this field has focused on formal texts, such as essays and novels, but recently
more at...
Stochastic Language Generation in Dialogue using Factored Language Models
Stochastic Language Generation Dialogue Factored Language Models
2015/9/14
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...
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
Statistical Machine Translation Translation Models Translationese
2015/9/11
Translation models used for statistical machine translation are compiled from parallel corpora that are manually translated. The common assumption is that parallel texts are symmetrical: The direction...
Multiword expressions lie at the syntax/semantics interface and have motivated alternative
theories of syntax like Construction Grammar. Until now, however, syntactic analysis and
multiword expressi...
Language Models for Machine Translation:Original vs. Translated Texts
Language Models Machine Translation Original vs.Translated Texts
2015/9/10
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 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...
Learning Tractable Word Alignment Models with Complex Constraints
Learning Tractable Word Alignment Models Complex Constraints
2015/9/8
Word-level alignment of bilingual text is a critical resource for a growing variety of tasks. Probabilistic models for word alignment present a fundamental trade-off between richness of captured const...
Applying Computational Models of Spatial Prepositions to Visually Situated Dialog
Applying Computational Models Spatial Prepositions Visually Situated
2015/9/7
This article describes the application of computational models of spatial prepositions to visually situated dialog systems. In these dialogs, spatial prepositions are important because people often us...