The slide talks about the aspect in binding and scope that programmer of modern language might not be fully aware, but good to know nontheless. Concept of scope and binding makes some programming language special case behavior more explainable and rememberable.
Exploring Natural Language Processing in RubyKevin Dias
Exploring Natural Language Processing in Ruby - Tokyo Rubyist Meetup (April 9th, 2015)
This presentation will cover 3 natural language processing gems I’ve released over the past year:
* Pragmatic Segmenter (a sentence boundary detection gem)
* Chat Correct (a gem for English teachers/students that provides error analysis when an incorrect sentence is diffed with a correct sentence)
* Word Count Analyzer (a gem that analyzes a string for potential “word count gray areas” which cause tools to report different word counts)
The talk will cover various aspects of building these gems including working from first principles, testing edge cases, and getting comfortable with regular expressions. I’ll also introduce a project that is currently in-progress - a new algorithm for parallel text alignment and some of the related challenges with building it.
An introduction to performing natural language processing (NLP) tasks in Ruby. Video is here: https://skillsmatter.com/skillscasts/4883-how-to-parse-go#video
Doppl is a new programming language that aims providing a natural syntax for implementing parallel algorithms, designing data structures for shared memory applications and automated message passing among multiple tasks. The name is an abbreviation of `data oriented parallel programming language`.
The slide talks about the aspect in binding and scope that programmer of modern language might not be fully aware, but good to know nontheless. Concept of scope and binding makes some programming language special case behavior more explainable and rememberable.
Exploring Natural Language Processing in RubyKevin Dias
Exploring Natural Language Processing in Ruby - Tokyo Rubyist Meetup (April 9th, 2015)
This presentation will cover 3 natural language processing gems I’ve released over the past year:
* Pragmatic Segmenter (a sentence boundary detection gem)
* Chat Correct (a gem for English teachers/students that provides error analysis when an incorrect sentence is diffed with a correct sentence)
* Word Count Analyzer (a gem that analyzes a string for potential “word count gray areas” which cause tools to report different word counts)
The talk will cover various aspects of building these gems including working from first principles, testing edge cases, and getting comfortable with regular expressions. I’ll also introduce a project that is currently in-progress - a new algorithm for parallel text alignment and some of the related challenges with building it.
An introduction to performing natural language processing (NLP) tasks in Ruby. Video is here: https://skillsmatter.com/skillscasts/4883-how-to-parse-go#video
Doppl is a new programming language that aims providing a natural syntax for implementing parallel algorithms, designing data structures for shared memory applications and automated message passing among multiple tasks. The name is an abbreviation of `data oriented parallel programming language`.
Automatic Transcription Of English Connected Speech PhenomenaITIIIndustries
Many phonetic phenomena that occur in connected speech are classified as phonetic periphery where anything can happen. A well-known convenient way to fix any phonetic phenomenon using certain symbols is transcription. The current paper aims at showing the model of predicting allophones by coordinating a number of factors that determine the choice of a particular allophone and visualizing the result changing certain letters into corresponding IPA symbols. Free Pascal compiler and Geany editor are used for programming purposes. The model is created for American English. It is tested for tap and glottal burst, the latter being one of the three glottalization patterns. The difference of the combination of factors for purely linguistic analysis and for computer programming is explained. We demonstrate (i) the framework for integrating separate blocks each dealing with one phenomenon (ii) a block for tapping which is almost finalized and a part of a block on glottalization, particularly patterns for glottal burst.
Quick intro to Neural Machine Translation and overview of the Joey NMT toolkit.
Code: https://github.com/joeynmt/joeynmt
Demo: https://github.com/joeynmt/joeynmt/blob/master/joey_demo.ipynb
Overview of Groovy language features and lead to Functional Programming in Groovy. As this is a code along session backed by this presentation, code examples are not include here as I code them live.
Modern Programming Languages classification PosterSaulo Aguiar
This study aims to provide a better, up-to-date understanding of the programming languages design space and classification that includes the multitude of interesting languages that have emerged during the past ten years but have not yet been covered in depth by past classification efforts.
Using Aspects for Language Portability (SCAM 2010)lennartkats
Software platforms such as the Java Virtual Machine or the CLR .NET virtual machine have their own ecosystem of a core programming language or instruction set, libraries, and developer community. Programming languages can target multiple software platforms to increase interoperability or to boost performance. Introducing a new compiler backend for a language is the first step towards targeting a new platform, translating the language to the platform\'s language or instruction set. Programs written in modern languages generally make extensive use of APIs, based on the runtime system of the software platform, introducing additional portability concerns. They may use APIs that are implemented by platform-specific libraries. Libraries may perform platform-specific operations, make direct native calls, or make assumptions about performance characteristics of operations or about the file system. This paper proposes to use aspect weaving to invasively adapt programs and libraries to address such portability concerns, and identifies four classes of aspects for this purpose. We evaluate this approach through a case study where we retarget the Stratego program transformation language towards the Java Virtual Machine.
Deep Learning for Machine Translation - A dramatic turn of paradigmMeetupDataScienceRoma
Presentazione al Meetup di Marzo del Machine Learning / Data Science Meetup di Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/248063386/
Automatic Transcription Of English Connected Speech PhenomenaITIIIndustries
Many phonetic phenomena that occur in connected speech are classified as phonetic periphery where anything can happen. A well-known convenient way to fix any phonetic phenomenon using certain symbols is transcription. The current paper aims at showing the model of predicting allophones by coordinating a number of factors that determine the choice of a particular allophone and visualizing the result changing certain letters into corresponding IPA symbols. Free Pascal compiler and Geany editor are used for programming purposes. The model is created for American English. It is tested for tap and glottal burst, the latter being one of the three glottalization patterns. The difference of the combination of factors for purely linguistic analysis and for computer programming is explained. We demonstrate (i) the framework for integrating separate blocks each dealing with one phenomenon (ii) a block for tapping which is almost finalized and a part of a block on glottalization, particularly patterns for glottal burst.
Quick intro to Neural Machine Translation and overview of the Joey NMT toolkit.
Code: https://github.com/joeynmt/joeynmt
Demo: https://github.com/joeynmt/joeynmt/blob/master/joey_demo.ipynb
Overview of Groovy language features and lead to Functional Programming in Groovy. As this is a code along session backed by this presentation, code examples are not include here as I code them live.
Modern Programming Languages classification PosterSaulo Aguiar
This study aims to provide a better, up-to-date understanding of the programming languages design space and classification that includes the multitude of interesting languages that have emerged during the past ten years but have not yet been covered in depth by past classification efforts.
Using Aspects for Language Portability (SCAM 2010)lennartkats
Software platforms such as the Java Virtual Machine or the CLR .NET virtual machine have their own ecosystem of a core programming language or instruction set, libraries, and developer community. Programming languages can target multiple software platforms to increase interoperability or to boost performance. Introducing a new compiler backend for a language is the first step towards targeting a new platform, translating the language to the platform\'s language or instruction set. Programs written in modern languages generally make extensive use of APIs, based on the runtime system of the software platform, introducing additional portability concerns. They may use APIs that are implemented by platform-specific libraries. Libraries may perform platform-specific operations, make direct native calls, or make assumptions about performance characteristics of operations or about the file system. This paper proposes to use aspect weaving to invasively adapt programs and libraries to address such portability concerns, and identifies four classes of aspects for this purpose. We evaluate this approach through a case study where we retarget the Stratego program transformation language towards the Java Virtual Machine.
Deep Learning for Machine Translation - A dramatic turn of paradigmMeetupDataScienceRoma
Presentazione al Meetup di Marzo del Machine Learning / Data Science Meetup di Roma: https://www.meetup.com/it-IT/Machine-Learning-Data-Science-Meetup/events/248063386/
Daniele Esposti - Evolution or stagnation programming languages - Codemotion ...Codemotion
Programming languages evolves with the need to the developers, but not all of them evolves at the same speed and sometimes some languages stays almost the same for decades. Is this a sign of stagnation? Is it possible to evolve a language without breaking retrocompatibility? This talk will cover how Python and Javascript approached the problem in a radically different way, with their pro and cons and with the consequences on the community. The main points of this talk are the comparation of the new features in both languages and strategies used to port or run the code on different versions.
Daniele Esposti - Evolution or stagnation programming languages - Codemotion ...Codemotion
Programming languages evolves with the need to the developers, but not all of them evolves at the same speed and sometimes some languages stays almost the same for decades. Is this a sign of stagnation? Is it possible to evolve a language without breaking retrocompatibility? This talk will cover how Python and Javascript approached the problem in a radically different way, with their pro and cons and with the consequences on the community. The main points of this talk are the comparation of the new features in both languages and strategies used to port or run the code on different versions.
Evolution or stagnation programming languagesDaniele Esposti
Programming languages evolves with the need to the developers, but not all of them evolves at the same speed and sometimes some languages stays almost the same for decades. Is this a sign of stagnation? Is it possible to evolve a language without breaking retrocompatibility?
This talk will cover how Python and Javascript approached the problem in a radically different way, with their pro and cons and with the consequences on the community.
The main points of this talk are:
* comparation of the new features in both languages
* strategies used to port or run the code on different versions of the language
* impact of the new features and tool on the respective developer’s communities
The intent is to start a constructive discussion about the retrocompatility in Python.
For this talk you don’t need to have a deep knowledge of Python or Javascript.
From Programming to Modeling And Back AgainMarkus Voelter
Is programming = modeling? Are there differences, conceptual and tool-wise? Should there be differences? What if we programmed the way we model? Or vice versa? In this slidedeck I explore this question and introduce interesting developments in the space of projectional editing and modern parser technology. This leads to the concept of modular programming languages and a new way of looking at programming. I will demonstrate the idea with tools that are available today, for example TMF Xtext, JetBrains MPS and Intentional’s Domain Workbench.
MOLTO poster for ACL 2010, Uppsala SwedenOlga Caprotti
MOLTO is funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914. MOLTO's goal is to develop a set of tools for translating texts between multiple languages in real time with high quality. Languages are separate modules in the tool and can be varied; prototypes covering a majority of the EU's 23 official languages will be built.
http://molto-project.eu
G2 pil a grapheme to-phoneme conversion tool for the italian languageijnlc
This paper presents a knowledge-based approach for the grapheme to-phoneme conversion (G2P) of isolated words of the Italian language. With more than 7,000 languages in the world, the biggest challenge today is to rapidly port speech processing systems to new languages with low human effort and at reasonable cost. This includes the creation of qualified pronunciation dictionaries. The dictionaries provide the mapping from the orthographic form of a word to its pronunciation, which is useful in both speech synthesis and automatic speech recognition (ASR) systems. For training the acoustic models we need an automatic routine that maps the spelling of training set to a string of phonetic symbols representing the pronunciation.
Are Natural Languages Regular? This is an important question for two reasons: first, it places an upper bound on the running time of algorithms that process natural language; second, it may tell us something about human language processing and language acquisition.
6. In general: The grammar of the union has new start variable and additional production For context-free languages with context-free grammars and start variables
7. Context-free languages are closed under: Concatenation is context free is context free is context-free Concatenation
8. In general: The grammar of the concatenation has new start variable and additional production For context-free languages with context-free grammars and start variables
10. Context-free languages are closed under: Star-operation is context free is context-free Star Operation
11. In general: The grammar of the star operation has new start variable and additional production For context-free language with context-free grammar and start variable
21. Is the complement of context free? Hw #1 p.219 For n a ( w ) > n b ( w ) : | cS 1 | S 1 c | cE | Ec This language is not context free (ref. Ex.8.8 p.217), but its complement is CF.
22. Intersection of Context-free languages and Regular Languages
23. The intersection of a context-free language and a regular language is a context-free language context free regular context-free
24. for for NPDA DFA Construct a new NPDA machine that accepts Machine Machine context-free regular simulates in parallel and i.e. whenever a symbol is read from input, M simultaneously executes the moves of M 1 and M 2