Concept

Syntaxe

Publications associées (38)

A TASTY Alternative

Martin Odersky, Eugene Burmako, Dmytro Petrashko

This document proposes a new serialization format for typed syntax trees of Scala programs. It aims to be ● compact: All numbers and references are length encoded, trees are inlined by default but may be shared. ● lazy: Trees can be explored from the top, ...

2016

Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model

Ramya Rasipuram

One of the key challenges involved in building statistical automatic speech recognition (ASR) systems is modeling the relationship between subword units or “lexical units” and acoustic feature observations. To model this relationship two types of resources ...

2015

Style Checking With Scala.Meta

Eugene Burmako, Mathieu Baptiste Demarne

In many companies, code reviews are big parts of the day-to-day life of an engineer. Some can argue that the time spent on someone else’s code is time that some cannot spent on her or his own work. Code reviews usually allow to find two kinds of issues. Th ...

2015

Discourse-level features for statistical machine translation

Thomas Meyer

Machine Translation (MT) has progressed tremendously in the past two decades. The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora. System design does not ...

EPFL2015

RSP-QL Semantics: a Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems

Jean Paul Calbimonte Perez

RDF and SPARQL are established standards for data interchange and querying on the Web. While they have been shown to be useful and applicable in many scenarios, they are not sufficiently adequate for dealing with streams of data and their intrinsic continu ...

2014

Scala AST Persistence

Adrien Ghosn, Eugene Burmako, Mathieu Baptiste Demarne

The Scala compiler uses ASTs (abstract syntax trees) as an intermediate representation before generating bytecode. With the development of Scala macros which expand trees at compile time, being able to access, modify and recompose ASTs within the compilati ...

2014

Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model

Ramya Rasipuram

One of the key challenge involved in building a statistical automatic speech recognition (ASR) system is modeling the relationship between lexical units (that are based on subword units in the pronunciation lexicon) and acoustic feature observations. To mo ...

Idiap2014

Discourse-level Features for Statistical Machine Translation

Thomas Meyer

École Polytechnique Fédérale de Lausanne (EPFL)2014

Stochastic fragments: A framework for the exact reduction of the stochastic semantics of rule-based models

Tatjana Petrov

In this paper, we propose an abstract interpretation-based framework for reducing the state space of stochastic semantics for protein protein interaction networks. Our approach consists in quotienting the state space of networks. Yet interestingly, we do n ...

2013

A Cognitive Reference Based Model for Learning Compositional Hierarchies with Whole-Composite Tags

Alain Wegmann, Anshuman Bahadur Saxena, Ashish Kishore Bindal

A compositional hierarchy is the default organization of knowledge acquired for the purpose of specifying the design requirements of a service. Existing methods for learning compositional hierarchies from natural language text, interpret composition as an ...

2013

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search