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
Smart grammar a dynamic spoken language understanding grammar for inflective ...ijnlc
Spoken language understanding (SLU) is a key requirement of spoken dialogue systems (SDS). The role of
SLU parser is to robustly interpret the meanings of users’ utterance using a hand-crafted grammar that is
expensive to build. This task becomes even harder when the developer is creating a SLU grammar for
inflectional languages due to the different conjugations and declensions. This causes long grammar
definition files that are hard to structure and also to manage. In this paper, we propose a new and
alternative method, called Smart Grammar to facilitate the development of speech enabled applications.
This uses a morphological analyzer, in addition to the semantic parser, in order to convert each user
utterance in the canonical form.
Java-centered Translator-based Multi-paradigm Software Development EnvironmentWaqas Tariq
This research explores the use of a translator-based multi-paradigm programming method to develop high quality software. With Java as the target language, an integrated software development environment is built to allow different parts of software implemented in Lisp, Prolog, and Java respectively. Two open source translators named PrologCafe and Linj are used to translate Prolog and Lisp program into Java classes. In the end, the generated Java classes are compiled and linked into one executable program. To demonstrate the functionalities of this integrated multi-paradigm environment, a calculator application is developed. Our study has demonstrated that a centralized translator-based multi-paradigm software development environment has great potential for improving software quality and the productivity of software developers. The key to the successful adoption of this approach in large software development depends on the compatibility among the translators and seamless integration of generated codes.
Combining the functional and oject oriented paradigms in the fobs-x scripting...ijpla
A language FOBS
-
X (Extensible FOBS) is described. This language is an interpreted lang
uage, intended
as a universal scripting language. An interesting feature of the language is its ability to be extended,
allowing it to be adapted to new scripting environments.
The interpretation process is structured as a core
-
language parser back
-
end
, and a macro processor front
-
end. The macro processor allows the language syntax to be modified. A configurable library is used to
help modify the semantics of the language, adding the required capabilities for interacting in a new
scripting environment
.
This paper focuses on the macro capability of the language. A macro extension to the language has been
developed, called the standard extension, that gives FOBS
-
X a friendlier syntax. It also serves as a
convenient tool for demonstrating the macro expa
nsion process.
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURESmlaij
The proposed methodology presented in the paper deals with solving the problem of multilingual speech
recognition. Current text and speech recognition and translation methods have a very low accuracy in
translating sentences which contain a mixture of two or more different languages. The paper proposes a
novel approach to tackling this problem and highlights some of the drawbacks of current recognition and
translation methods.
Public annual report for the MOLTO project for year 2011. MOLTO is funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914.
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
Smart grammar a dynamic spoken language understanding grammar for inflective ...ijnlc
Spoken language understanding (SLU) is a key requirement of spoken dialogue systems (SDS). The role of
SLU parser is to robustly interpret the meanings of users’ utterance using a hand-crafted grammar that is
expensive to build. This task becomes even harder when the developer is creating a SLU grammar for
inflectional languages due to the different conjugations and declensions. This causes long grammar
definition files that are hard to structure and also to manage. In this paper, we propose a new and
alternative method, called Smart Grammar to facilitate the development of speech enabled applications.
This uses a morphological analyzer, in addition to the semantic parser, in order to convert each user
utterance in the canonical form.
Java-centered Translator-based Multi-paradigm Software Development EnvironmentWaqas Tariq
This research explores the use of a translator-based multi-paradigm programming method to develop high quality software. With Java as the target language, an integrated software development environment is built to allow different parts of software implemented in Lisp, Prolog, and Java respectively. Two open source translators named PrologCafe and Linj are used to translate Prolog and Lisp program into Java classes. In the end, the generated Java classes are compiled and linked into one executable program. To demonstrate the functionalities of this integrated multi-paradigm environment, a calculator application is developed. Our study has demonstrated that a centralized translator-based multi-paradigm software development environment has great potential for improving software quality and the productivity of software developers. The key to the successful adoption of this approach in large software development depends on the compatibility among the translators and seamless integration of generated codes.
Combining the functional and oject oriented paradigms in the fobs-x scripting...ijpla
A language FOBS
-
X (Extensible FOBS) is described. This language is an interpreted lang
uage, intended
as a universal scripting language. An interesting feature of the language is its ability to be extended,
allowing it to be adapted to new scripting environments.
The interpretation process is structured as a core
-
language parser back
-
end
, and a macro processor front
-
end. The macro processor allows the language syntax to be modified. A configurable library is used to
help modify the semantics of the language, adding the required capabilities for interacting in a new
scripting environment
.
This paper focuses on the macro capability of the language. A macro extension to the language has been
developed, called the standard extension, that gives FOBS
-
X a friendlier syntax. It also serves as a
convenient tool for demonstrating the macro expa
nsion process.
MULTILINGUAL SPEECH TO TEXT USING DEEP LEARNING BASED ON MFCC FEATURESmlaij
The proposed methodology presented in the paper deals with solving the problem of multilingual speech
recognition. Current text and speech recognition and translation methods have a very low accuracy in
translating sentences which contain a mixture of two or more different languages. The paper proposes a
novel approach to tackling this problem and highlights some of the drawbacks of current recognition and
translation methods.
Public annual report for the MOLTO project for year 2011. MOLTO is funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement FP7-ICT-247914.
DEVELOPMENT OF TOOL TO PROMOTE WEB ACCESSIBILITY FOR DEAFcsandit
This paper presents an intelligent tool to summarize Arabic articles and translate the summary
to Arabic sign language based on avatar technology. This tool was designed for improving web
accessibility and help deaf people for acquiring more benefits. Of the most important problems
in this task, is that the deaf people were facing many difficulties in reading online articles
because of their limited reading skills. To solve this problem the proposed tool includes a
summarizer that summaries the articles, so deaf people will read the summary instead of
reading the whole article .Also the tool use avatar technology to translate the summary to sing
language.
Many occasion students are wondering which one should they choose in coding and why .In most cases, we want to avoid inheritance. We should use abstract classes only when we want to include functionality, but parts of the class's purpose need to be implemented by the child class.With abstract classes, you are forcing other developers to implement child classes using inheritance. Interfaces are much easier to add to existing classes, and with defender methods there is little reason to not consider interfaces first.
ADVERSARIAL GRAMMATICAL ERROR GENERATION: APPLICATION TO PERSIAN LANGUAGEkevig
Grammatical error correction (GEC) greatly benefits from large quantities of high-quality training data.
However, the preparation of a large amount of labelled training data is time-consuming and prone to
human errors. These issues have become major obstacles in training GEC systems. Recently, the
performance of English GEC systems has drastically been enhanced by the application of deep neural
networks that generate a large amount of synthetic data from limited samples. While GEC has extensively
been studied in languages such as English and Chinese, no attempts have been made to generate synthetic
data for improving Persian GEC systems. Given the substantial grammatical and semantic differences of
the Persian language, in this paper, we propose a new deep learning framework to create large enough
synthetic sentences that are grammatically incorrect for training Persian GEC systems. A modified version
of sequence generative adversarial net with policy gradient is developed, in which the size of the model is
scaled down and the hyperparameters are tuned. The generator is trained in an adversarial framework on
a limited dataset of 8000 samples. Our proposed adversarial framework achieved bilingual evaluation
understudy (BLEU) scores of 64.5% on BLEU-2, 44.2% on BLEU-3, and 21.4% on BLEU-4, and
outperformed the conventional supervised-trained long short-term memory using maximum likelihood
estimation and recently proposed sequence labeler using neural machine translation augmentation. This
shows promise toward improving the performance of GEC systems by generating a large amount of
training data.
ADVERSARIAL GRAMMATICAL ERROR GENERATION: APPLICATION TO PERSIAN LANGUAGEkevig
Grammatical error correction (GEC) greatly benefits from large quantities of high-quality training data.
However, the preparation of a large amount of labelled training data is time-consuming and prone to
human errors. These issues have become major obstacles in training GEC systems. Recently, the
performance of English GEC systems has drastically been enhanced by the application of deep neural
networks that generate a large amount of synthetic data from limited samples. While GEC has extensively
been studied in languages such as English and Chinese, no attempts have been made to generate synthetic
data for improving Persian GEC systems. Given the substantial grammatical and semantic differences of
the Persian language, in this paper, we propose a new deep learning framework to create large enough
synthetic sentences that are grammatically incorrect for training Persian GEC systems. A modified version
of sequence generative adversarial net with policy gradient is developed, in which the size of the model is
scaled down and the hyperparameters are tuned. The generator is trained in an adversarial framework on
a limited dataset of 8000 samples. Our proposed adversarial framework achieved bilingual evaluation
understudy (BLEU) scores of 64.5% on BLEU-2, 44.2% on BLEU-3, and 21.4% on BLEU-4, and
outperformed the conventional supervised-trained long short-term memory using maximum likelihood
estimation and recently proposed sequence labeler using neural machine translation augmentation. This
shows promise toward improving the performance of GEC systems by generating a large amount of
training data.
Crafting Your Customized Legal Mastery: A Guide to Building Your Private LLMChristopherTHyatt
Create a tailored legal education with a private LLM. Identify your specialization, research courses from reputable institutions, and leverage online platforms for flexibility. Craft a unique curriculum combining law with interdisciplinary studies, enhancing your expertise. Network with professionals, balance theory with practical experience, and stay updated on legal trends. Build a personalized learning journey to unlock your full potential in the legal landscape.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
1. B Y ,
LAVANYA BANDLA
GRASP: A Framework for Grammar-based Language learning
for children and adult with communicative disabilities using an
Android platform
2. IN TODAY’S WORLD, A WORLD WITHOUT
EDUCATION IS MEANINGLESS IN THE
SAME WAY EVERYONE HAS THE RIGHT
TO READ AND WRITE AND PEOPLE WITH
COMMUNICATIVE DISABILITIES FEEL
UNSUPPORTIVE. IN ORDER TO BOOST
THEM WITH SOME CONFIDENCE WE
PROPOSE AN IDEA FOR ‘GRASP’
LEARNING USING AN INTERACTIVE
SYSTEM FOR
COMPUTER ASSISTED LANGUAGE
LEARNING (CALL).
INTRODUCTION
3. SYSTEM DESCRIPTION
Grammatical Framework(G.F) for multilingual and
modular formalism.
Ready made texts :The texts are stored as GF grammars
which makes them possible to modify in a grammatical
way.
Graphical Interaction: The user can move a word to
another position in the sentence, and the system will
automatically keep the sentence
Grammar modules: Different grammatical and linguistic
constructions are put in separate grammar modules,
which the user him/herself Can choose to train.
4. SYSTEM DESCRIPTION
No free text input
The system does not allow the user to enter
words, phrases or sentences from the keyboard
Systems that are supposed to handle free text input
sooner or later run into problems with Unknown
words or phrases
5. ILLUSTATIVE EXAMPLE
CONSIDER,
The above sentence is to be converted replacing the
cat with mouse.
The passive form of this:
The Cat didn’t chase the mouse
The mouse didn’t chase the cat
The mouse Wasn’t chased by the cat
6. IMPLEMENTATION
The system consists of three implementation layers:
FIRST LAYER:
The bottom layer is the GF grammar formalism. We use
GF’s multilingual resource grammar to define the
different grammar modules.
The example texts are stored as GF syntax trees, and the
GF linearization algorithm is used for displaying the
sentences to the user.
7. IMPLEMENTATION
We have no use of parsing the sentences, since the
syntax trees are already known and there is no free
text input.
On top of GF we have implemented an API for
modifying syntax trees by specifying linearization
constraints
8. IMPLEMENTATION
SECOND LAYER:
The API consists of functions that transform trees to
obey the constraints, by using as few transformations
as possible.
For the API functions to work, we have defined a
similarity measure between GF trees. This is based
on the notion
Of tree edit distance but with modifications to ensure
type-correctness according to the GF type system.
9. IMPLEMENTATION
FINAL LAYER
The final layer is the graphical interface, which
communicates with the API to decide which words
can be moved where, and what their context menus
should contain.
10. CONCLUSION
Well when we normal humans can grasp things
efficiently and effectively even the people with
disabilities can also grasp the grammars effectively
and efficiently too. Hence this is our idea for
proposing a framework on the grammar based
effective learning using the Android operating
system using direct manipulations using the touch
screen