CLUSTERING WEB SEARCH RESULTS FOR EFFECTIVE ARABIC LANGUAGE BROWSINGijnlc
The process of browsing Search Results is one of the major problems with traditional Web search engines
for English, European, and any other languages generally, and for Arabic Language particularly. This
process is absolutely time consuming and the browsing style seems to be unattractive. Organizing Web
search results into clusters facilitates users quick browsing through search results. Traditional clustering
techniques (data-centric clustering algorithms) are inadequate since they don't generate clusters with
highly readable names or cluster labels. To solve this problem, Description-centric algorithms such as
Suffix Tree Clustering (STC) algorithm have been introduced and used successfully and extensively with
different adapted versions for English, European, and Chinese Languages. However, till the day of writing
this paper, in our knowledge, STC algorithm has been never applied for Arabic Web Snippets Search
Results Clustering.
A syntactic analysis model for vietnamese questions in v dlg~tabl systemijnlc
This paper introduces a syntactic analysis model that we propose to parse and process the Vietnamese questions about tablets in V-DLG~TABL system, which is a Vietnamese Question – Answering system working based on automatic dialog mechanism. The V-DLG~TABL system is built to support clients using Vietnamese questions for searching tablets based on interaction between the clients and the system. We apply the “Phrase Structure Grammar” of Noam Chomsky to develop a syntactic analysis model that is specific and suitable for the V-DLG~TABL system. This syntactic analysis model is used to implement the “V-DLG~TABL Syntactic Parsing and Processing” component of the system.
CLUSTERING WEB SEARCH RESULTS FOR EFFECTIVE ARABIC LANGUAGE BROWSINGijnlc
The process of browsing Search Results is one of the major problems with traditional Web search engines
for English, European, and any other languages generally, and for Arabic Language particularly. This
process is absolutely time consuming and the browsing style seems to be unattractive. Organizing Web
search results into clusters facilitates users quick browsing through search results. Traditional clustering
techniques (data-centric clustering algorithms) are inadequate since they don't generate clusters with
highly readable names or cluster labels. To solve this problem, Description-centric algorithms such as
Suffix Tree Clustering (STC) algorithm have been introduced and used successfully and extensively with
different adapted versions for English, European, and Chinese Languages. However, till the day of writing
this paper, in our knowledge, STC algorithm has been never applied for Arabic Web Snippets Search
Results Clustering.
A syntactic analysis model for vietnamese questions in v dlg~tabl systemijnlc
This paper introduces a syntactic analysis model that we propose to parse and process the Vietnamese questions about tablets in V-DLG~TABL system, which is a Vietnamese Question – Answering system working based on automatic dialog mechanism. The V-DLG~TABL system is built to support clients using Vietnamese questions for searching tablets based on interaction between the clients and the system. We apply the “Phrase Structure Grammar” of Noam Chomsky to develop a syntactic analysis model that is specific and suitable for the V-DLG~TABL system. This syntactic analysis model is used to implement the “V-DLG~TABL Syntactic Parsing and Processing” component of the system.
The QIP route for fund raising has started picking up it the last few days. But ADRs, GDRs, ECBs and FCCBs are yet to pick up...says Jagannadham Thunuguntla
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.
Hybrid part of-speech tagger for non-vocalized arabic textijnlc
Part of speech tagging (POS tagging) has a crucial role in different fields of natural language processing
(NLP) including Speech Recognition, Natural Language Parsing, Information Retrieval and Multi Words
Term Extraction. This paper proposes an efficient and accurate POS Tagging technique for Arabic
language using hybrid approach. Due to the ambiguity issue, Arabic Rule-Based method suffers from
misclassified and unanalyzed words. To overcome these two problems, we propose a Hidden Markov
Model (HMM) integrated with Arabic Rule-Based method. Our POS tagger generates a set of three POS
tags: Noun, Verb, and Particle. The proposed technique uses the different contextual information of the
words with a variety of the features which are helpful to predict the various POS classes. To evaluate its
accuracy, the proposed method has been trained and tested with two corpora: the Holy Quran Corpus and
Kalimat Corpus for undiacritized Classical Arabic language. The experiment results demonstrate the
efficiency of our method for Arabic POS Tagging. In fact, the obtained accuracies rates are 97.6%, 96.8%
and 94.4% for respectively our Hybrid Tagger, HMM Tagger and for the Rule-Based Tagger with Holy
Quran Corpus. And for Kalimat Corpus we obtained 94.60%, 97.40% and 98% for respectively Rule-Based
Tagger, HMM Tagger and our Hybrid Tagger.
Entre las novedades introducidas por el Código Aduanero (Ley 22415 y Normas complementarias), quizás la más importante es el articulado referido a la determinación del Valor Imponible de Exportación; es decir la base sobre la que el exportador calcula el pago de los derechos de exportación.
Anna Lucia Alfaro Dardón, Harvard MPA/ID.
Opportunities, constraints and challenges for the development of the small and medium enterprise (SME) sector in Central America, with an analytical study of the SME sector in Nicaragua. - focused on the current supply and demand gap for credit and financial services.
Anna Lucía Alfaro Dardón
Dr. Ivan Alfaro
The QIP route for fund raising has started picking up it the last few days. But ADRs, GDRs, ECBs and FCCBs are yet to pick up...says Jagannadham Thunuguntla
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.
Hybrid part of-speech tagger for non-vocalized arabic textijnlc
Part of speech tagging (POS tagging) has a crucial role in different fields of natural language processing
(NLP) including Speech Recognition, Natural Language Parsing, Information Retrieval and Multi Words
Term Extraction. This paper proposes an efficient and accurate POS Tagging technique for Arabic
language using hybrid approach. Due to the ambiguity issue, Arabic Rule-Based method suffers from
misclassified and unanalyzed words. To overcome these two problems, we propose a Hidden Markov
Model (HMM) integrated with Arabic Rule-Based method. Our POS tagger generates a set of three POS
tags: Noun, Verb, and Particle. The proposed technique uses the different contextual information of the
words with a variety of the features which are helpful to predict the various POS classes. To evaluate its
accuracy, the proposed method has been trained and tested with two corpora: the Holy Quran Corpus and
Kalimat Corpus for undiacritized Classical Arabic language. The experiment results demonstrate the
efficiency of our method for Arabic POS Tagging. In fact, the obtained accuracies rates are 97.6%, 96.8%
and 94.4% for respectively our Hybrid Tagger, HMM Tagger and for the Rule-Based Tagger with Holy
Quran Corpus. And for Kalimat Corpus we obtained 94.60%, 97.40% and 98% for respectively Rule-Based
Tagger, HMM Tagger and our Hybrid Tagger.
Entre las novedades introducidas por el Código Aduanero (Ley 22415 y Normas complementarias), quizás la más importante es el articulado referido a la determinación del Valor Imponible de Exportación; es decir la base sobre la que el exportador calcula el pago de los derechos de exportación.
Anna Lucia Alfaro Dardón, Harvard MPA/ID.
Opportunities, constraints and challenges for the development of the small and medium enterprise (SME) sector in Central America, with an analytical study of the SME sector in Nicaragua. - focused on the current supply and demand gap for credit and financial services.
Anna Lucía Alfaro Dardón
Dr. Ivan Alfaro
Guía para hacer un Plan de Negocio para tu emprendimiento.pdfpppilarparedespampin
Esta Guía te ayudará a hacer un Plan de Negocio para tu emprendimiento. Con todo lo necesario para estructurar tu proyecto: desde Marketing hasta Finanzas, lo imprescindible para presentar tu idea. Con esta guía te será muy fácil convencer a tus inversores y lograr la financiación que necesitas.
