Anglais

Résumé

Langlais (English ; prononcé : ) est une langue indo-européenne germanique originaire d'Angleterre qui tire ses racines de langues du nord de l'Europe (terre d'origine des Angles, des Saxons et des Frisons) dont le vocabulaire a été enrichi et la syntaxe et la grammaire modifiées par le français anglo-normand, apporté par les Normands, puis par le français avec les Plantagenêt. La langue anglaise est ainsi composée d'environ 29 % de mots d'origine normande et française et plus des deux tiers de son vocabulaire proviennent du français ou du latin. L'anglais est également très influencé par les langues romanes, en particulier par l'utilisation de l'alphabet latin ainsi que les chiffres arabes. Langue officielle de facto du Royaume-Uni, de l'Irlande et d'autres îles de l'archipel britannique (Île de Man, îles anglo-normandes), l'anglais est la langue maternelle de tout ou partie de la population, et suivant les cas, la langue ou une des langues officielles de plusieurs pays, totalement

Source officielle

https://fr.wikipedia.org/wiki/Anglais

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The objective of this course is to present the main models, formalisms and algorithms necessary for the development of applications in the field of natural language information processing. The concepts introduced during the lectures will be applied during practical sessions.

This course gives an introduction to the fundamental concepts and methods of the Digital Humanities, both from a theoretical and applied point of view. The course introduces the Digital Humanities circle of processing and interpretation, from data acquisition to new understandings.

We teach the fundamental aspects of analyzing and interpreting computer languages, including the techniques to build compilers. You will build a working compiler from an elegant functional language into the new web standard for portable binaries called WebAssembly ( https://webassembly.org/ )

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The Operational Semantics and Implementation of a Core Dart language

Zhivka Gucevska

In this report we present the specification of the operational semantics of Dart Kernel and a reference implementation of Dart Kernel in Dart. We design a CESK-like machine to specify the operational semantics of Dart Kernel and we implement an interpreter that follows closely the small-step semantics of the language. This approach allows us to define the behaviour of the rich features of Dart Kernel, such as exception handling and asynchronous execution. Since Dart Kernel is an evolving language, the specification is expected to evolve with it and the semantics for new features needs to be defined further. The work done for this project sets the grounds for further formalization of the behaviour of the language with a formal proof management system, as Coq.

2017

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Integrating Language Identification to improve Multilingual Speech Recognition

Holger Caesar

The process of determining the language of a speech utterance is called Language Identification (LID). This task can be very challenging as it has to take into account various language-specific aspects, such as phonetic, phonotactic, vocabulary and grammar-related cues. In multilingual speech recognition we try to find the most likely word sequence that corresponds to an utterance where the language is not known a priori. This is a considerably harder task compared to monolingual speech recognition and it is common to use LID to estimate the current language. In this project we present two general approaches for LID and describe how to integrate them into multilingual speech recognizers. The first approach uses hierarchical multilayer perceptrons to estimate language posterior probabilities given the acoustics in combination with hidden Markov models. The second approach evaluates the output of a multilingual speech recognizer to determine the spoken language. The research is applied to the MediaParl speech corpus that was recorded at the Parliament of the canton of Valais, where people switch from Swiss French to Swiss German or vice versa. Our experiments show that, on that particular data set, LID can be used to significantly improve the performance of multilingual speech recognizers. We will also point out that ASR dependent LID approaches yield the best performance due to higher-level cues and that our systems perform much worse on non-native data

Idiap2012

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A computer system for the promotion of the rational use of energy in the industry has been developed. It combines the PINCHLENI software developed by the LENI (Laboratory of industrial Energy Systems) of the Swiss Federal Institute of Technology (Lausanne) and the web based platform EXSYS developed initially by the LASSC (Laboratory for the Analysis and the Synthesis of Chemical Systems) at the University of Liège (B) with the support of the European commission. It represents an efficient platform for solving process integration problems.? ? A web site allowing free download of the tools has been developed. It includes a users data base, a FAQ and a bug reporting section that will allow a more efficient and easier maintenance of the software tools.? ? The Windows version of PINCHLENI has been stabilized and a communication interface with the EXSYS platform has been developed. This system is an efficient system for computing the process integration including the optimal integration of energy conversion technologies like combustion, gas turbines, steam network, Rankine cycles, heat pumps and refrigeration cycles. This system is particularly well suited for solving site scale problems (as demonstrated in an industrial site application solved during this project).? ? A courseware (in English language) helps learning the utilisation of the software. It is composed of online manuals and teaching materials for the theoretical backgrounds, a FAQ list with a search engine as well as a hypertext tutorial document illsutrating the application of the two computer platforms for solving a small example.? ? Results of this research project will be found on the LENI web site: (http://leniwww.epfl.ch/).

2002

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