Results 41 to 50 of about 1,205,220 (192)
Language Modeling with Highway LSTM
Language models (LMs) based on Long Short Term Memory (LSTM) have shown good gains in many automatic speech recognition tasks. In this paper, we extend an LSTM by adding highway networks inside an LSTM and use the resulting Highway LSTM (HW-LSTM) model ...
Kurata, Gakuto +3 more
core +1 more source
Advanced language modeling approaches, case study: Expert search [PDF]
This tutorial gives a clear and detailed overview of advanced language modeling approaches and tools, including the use of document priors, translation models, relevance models, parsimonious models and expectation maximization training.
Hiemstra, D.
core +3 more sources
Language Modeling on Location-Based Social Networks
The popularity of mobile devices with GPS capabilities, along with the worldwide adoption of social media, have created a rich source of text data combined with spatio-temporal information.
Juglar Diaz +2 more
doaj +1 more source
Language Modeling with Deep Transformers
We explore deep autoregressive Transformer models in language modeling for speech recognition. We focus on two aspects. First, we revisit Transformer model configurations specifically for language modeling. We show that well configured Transformer models
Irie, Kazuki +3 more
core +1 more source
In the present review paper by members of the collaborative research center “Register: Language Users' Knowledge of Situational-Functional Variation” (CRC 1412), we assess the pervasiveness of register phenomena across different time periods, languages ...
Valentina N. Pescuma +49 more
doaj +1 more source
Transformation of UML Behavioral Diagrams to Support Software Model Checking [PDF]
Unified Modeling Language (UML) is currently accepted as the standard for modeling (object-oriented) software, and its use is increasing in the aerospace industry.
Júnior, Valdivino Alexandre de Santiago +2 more
core +2 more sources
A formal theory of conceptual modeling universals [PDF]
Conceptual Modeling is a discipline of great relevance to several areas in Computer Science. In a series of papers [1,2,3] we have been using the General Ontological Language (GOL) and its underlying upper level ontology, proposed in [4,5], to evaluate ...
Guizzardi, Giancarlo +2 more
core +3 more sources
Neural Networks Compression for Language Modeling
In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs). It is known that conventional RNNs, e.g, LSTM-based networks in language modeling, are characterized with either high ...
F Jelinek +3 more
core +1 more source
Engineering delta modeling languages [PDF]
Delta modeling is a modular, yet flexible approach to capture spatial and temporal variability by explicitly representing the differences between system variants or versions. The conceptual idea of delta modeling is language-independent. But, in order to apply delta modeling for a concrete language, so far, a delta language had to be manually developed
Haber, Arne +6 more
openaire +2 more sources
Violation of Leggett–Garg Inequality in Perceiving Cup-like Objects and Cognitive Contextuality
This paper is devoted to an experimental investigation of cognitive contextuality inspired by quantum contextuality research. This contextuality is related to, but not identical to context-sensitivity which is well-studied in cognitive psychology and ...
Likan Zhan +2 more
doaj +1 more source

