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Staged Parser Combinators for Efficient Data Processing

Publications associées (33)

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Cross-Platform Language Design

Sébastien Jean R Doeraene

Programming languages are increasingly compiled to multiple runtimes, each featuring their own rich structures such as their object model. Furthermore, they need to interact with other languages targeting said runtimes. A language targeting only one runtim ...

EPFL2018

LMS-Verify: Abstraction without Regret for Verified Systems Programming’

Tiark Rompf, Nada Amin

Performance critical software is almost always developed in C, as programmers do not trust high-level languages to deliver the same reliable performance. This is bad because low-level code in unsafe languages attracts security vulnerabilities and because d ...

Assoc Computing Machinery2017

Annotated References in the Historiography on Venice: 19th–21st centuries

Matteo Romanello, Giovanni Colavizza

We publish a dataset containing more than 40’000 manually annotated references from a broad corpus of books and journal articles on the history of Venice. References were considered from both reference lists and footnotes, include primary and secondary sou ...

2017

A pilot study on eliciting human operations decision in purchasing and measuring their impact on supply chain efficiency

Rémy Glardon, Souleïman Naciri, Min-Jung Yoo, Yvonne Badulescu

This paper presents a methodology for eliciting the behavioural model of purchasers' decision-making in a supply chain environment. The objective of the work is to explicitly describe the relationship between a human user's behaviour and the resulting perf ...

Pergamon-Elsevier Science Ltd2017

Specialising Parsers for Queries

Manohar Jonnalagedda

Many software systems consist of data processing components that analyse large datasets to gather information and learn from these. Often, only part of the data is relevant for analysis. Data processing systems contain an initial preprocessing step that fi ...

EPFL2016

Word Sequence Modeling using Deep Learning

Joël Yvon Roland Legrand

For a long time, natural language processing (NLP) has relied on generative models with task specific and manually engineered features. Recently, there has been a resurgence of interest for neural networks in the machine learning community, obtaining state ...

EPFL2016

Automating Grammar Comparison

Viktor Kuncak, Mikaël Mayer, Ravichandhran Kandhadai Madhavan

We consider from a practical perspective the problem of checking equivalence of context-free grammars. We present techniques for proving equivalence, as well as techniques for finding counter-examples that establish non-equivalence. Among the key building ...

2015

Automating Grammar Comparison

Viktor Kuncak, Mikaël Mayer, Ravichandhran Kandhadai Madhavan

Assoc Computing Machinery2015

Towards Automating Grammar Equivalence Checking

Viktor Kuncak, Mikaël Mayer, Ravichandhran Kandhadai Madhavan

We consider from practical perspective the (generally undecidable) problem of checking equivalence of context-free grammars. We present both techniques for proving equivalence, as well as techniques for finding counter-examples that establish non-equivalen ...

2015

Traversal Query Language For Scala.Meta

Eugene Burmako, Eric Beguet

With the rise of metaprogramming in Scala, manipulating ASTs has become a daily job. Yet the standard API provides only low-level mechanisms to transform or to collect information on those data structures. Moreover, those mechanisms often force the program ...

2015