People across the globe have access to materials such as journals, articles, adverts etc. via the internet. However
many of these resources come in diverse nature of languages. Although, English language seems most suitable to
most people, some readers do believe that working on materials in one’s native language is more enjoyable than in
other languages. Researches have shown that Arabic language has not been prominent in terms of online materials
and the few existing are most times ignored due to the peculiar nature of its various characters and constructs.
Hence, a proper study of its relationship with English language with a view to bringing people closer to its
understanding becomes necessary. The system scenarios were modeled and implemented using Unified Modeling
Language and Microsoft C# respectively in a way that the expected set of characters of the language of interest was
automatically formed with respect to a given input. The procedural steps were properly followed in the development
and running of the code using Context-Free Rule Based Technique with the availability of hardware required as
clearly described in the design. The system’s workability was tested with different source texts as inputs and in each
case the resulting outputs were very effective with respect to the translation process. The design here is expected to
serve as a tool for assisting beginners in these two languages and so, showcases a one-to-one form of
correspondence, hence, more rules and functions for ensuring a more robust are expected in future works.
People across the globe have access to materials such as journals, articles, adverts etc. via the internet. However
many of these resources come in diverse nature of languages. Although, English language seems most suitable to
most people, some readers do believe that working on materials in one’s native language is more enjoyable than in
other languages. Researches have shown that Arabic language has not been prominent in terms of online materials
and the few existing are most times ignored due to the peculiar nature of its various characters and constructs.
Hence, a proper study of its relationship with English language with a view to bringing people closer to its
understanding becomes necessary. The system scenarios were modeled and implemented using Unified Modeling
Language and Microsoft C# respectively in a way that the expected set of characters of the language of interest was
automatically formed with respect to a given input. The procedural steps were properly followed in the development
and running of the code using Context-Free Rule Based Technique with the availability of hardware required as
clearly described in the design. The system’s workability was tested with different source texts as inputs and in each
case the resulting outputs were very effective with respect to the translation process. The design here is expected to
serve as a tool for assisting beginners in these two languages and so, showcases a one-to-one form of
correspondence, hence, more rules and functions for ensuring a more robust are expected in future works.
An Empirical Study on Comment Classificationijtsrd
Due to increasing technologies in the interactive web applications, there has been a lot of development in E commerce and online social networking activities. The comments or the post always plays a vital role in understanding of the attitude towards a particular topic, product of the online users. Most of the times these comments or posts help the other users to understand the scenario and to take the right decision on the web platform. Machine learning plays a vital role to understand and to estimate the accurate semantics of these posts and comments. Natural language processing is widely used for this, Most of the times natural language processing does not yield much expected results in the classification of these comments due to the complexity in the narration. These complexities generally arise either due to poor narration of the comments or highly sarcastic contents in the comments. So to overcome these problems this paper broadly studies all the past work on comment classification and try to find the new way of machine learning to get the highly classified labels of the comments. Shubham Derhgawen | Rajesh Tak | Subhasish Chatterjee "An Empirical Study on Comment Classification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28053.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/28053/an-empirical-study-on-comment-classification/shubham-derhgawen
NEW TRENDS IN LESS-RESOURCED LANGUAGE PROCESSING: CASE OF AMAZIGH LANGUAGEkevig
The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced
people to profoundly review their relationships and interactions with digital technologies. Nevertheless,
people prefer using these technologies in their favorite languages.
New Trends in Less-Resourced Language Processing: Case of Amazigh Languagekevig
The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced people to profoundly review their relationships and interactions with digital technologies. Nevertheless, people prefer using these technologies in their favorite languages. Unfortunately, most languages are considered even as low or less-resourced, and they do not have the potential to keep up with the new needs. Therefore, this study explores how this kind of languages, mainly the Amazigh, will behave in the wholly digital environment, and what to expect for new trends. Contrary to last decades, the research gap of low and less-resourced languages is continually reducing. Nonetheless, the literature review exploration unveils the need for innovative research to review their informatization roadmap, while rethinking, in a valuable way, people’s behaviors in this increasingly changing environment. Through this work, we will try first to introduce the technology access challenges, and explain how natural language processing contributes to their overcoming. Then, we will give an overview of existing studies and research related to under and less-resourced languages’ informatization, with an emphasis on the Amazigh language. After, based on these studies and the agile revolution, a new roadmap will be presented.
Syracuse UniversitySURFACEThe School of Information Studie.docxdeanmtaylor1545
Syracuse University
SURFACE
The School of Information Studies Faculty
Scholarship
School of Information Studies (iSchool)
2001
Natural Language Processing
Elizabeth D. Liddy
Syracuse University, [email protected]
Follow this and additional works at: http://surface.syr.edu/istpub
Part of the Library and Information Science Commons, and the Linguistics Commons
This Book Chapter is brought to you for free and open access by the School of Information Studies (iSchool) at SURFACE. It has been accepted for
inclusion in The School of Information Studies Faculty Scholarship by an authorized administrator of SURFACE. For more information, please contact
[email protected]
Recommended Citation
Liddy, E.D. 2001. Natural Language Processing. In Encyclopedia of Library and Information Science, 2nd Ed. NY. Marcel Decker, Inc.
http://surface.syr.edu?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/istpub?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/istpub?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/ischool?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/istpub?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://network.bepress.com/hgg/discipline/1018?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://network.bepress.com/hgg/discipline/371?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
mailto:[email protected]
Natural Language Processing
1
INTRODUCTION
Natural Language Processing (NLP) is the computerized approach to analyzing text that
is based on both a set of theories and a set of technologies. And, being a very active area
of research and development, there is not a single agreed-upon definition that would
satisfy everyone, but there are some aspects, which would be part of any knowledgeable
person’s definition. The definition I offer is:
Definition: Natural Language Processing is a theoretically motivated range of
computational techniques for analyzing and representing naturally occurring texts
at one or more levels of linguistic analysis for the purpose of achieving human-like
language processing for a range of tasks or applications.
Several elements of this definition can be further detailed. Firstly the imprecise notion of
‘range of computational techniques’ is necessary because there are multiple methods or
techniques from which to choose to accomplish a particular type of language analysis.
‘Naturally occurring texts’ can be of any language, mode, genre, etc. The texts can be
oral or written. The only requirement is that they be in a language used by humans to
communicate to one another. Also, the text being analyzed should not be specifically
constru.
Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
MULTILINGUALISM, GLOBAL COMPETENCY AND COMMUNICATIVE PERFORMANCE FOR BUSINESS...Ram Singh
Text of the address of Professor (Dr) R.K. Singh in the National Conference on Sustainability and Development: Implications of ELT for Individual Society and Ecology at Indian Institute of Technology, Patna, 3-4 April, 2015
The Advantages ofUsilng Technology inSecond Lanlguage E.docxmehek4
The Advantages of
Usilng Technology 'in
Second Lanlguage Educat'ion
Techwnology lntegrat'lon 'in Foreilgn ILanguage
to a Cownstructmovist Learn'lng Approach
BY Li WANG
UNIVERSITY OF CENTRAL FLORIDA
38 T.H.E. Journal I www.thejournal.com I May 2005
ith the advent of networked comrputers and lnte:rnet technology,
computer-based instruction has been widely used in language class-
rooms throughout the United States. Computer technologies have
dramatically changed the way people gather information, conduct research
and communicate with others worldwide. Considering the tremendous startupyV
expenses, copyright issues, objectionable materials and other potential dis-
advantages of technology, much research has been conducted regarding: the
effectiveness of, and better strategies for, technology integration.Taking the
characteristics of language learning into account, 'this article helps answer two
important questions: Do we need technology in language classrooms? And
what kinds of services do comp:uter technologies provide for :these classroomrs?
Background Studies
Web-based writing instruction has proved to be an impor-
tant factor in enhancing the writing quality of low-ability
English as a foreign language (EFL) students. In a study
designed to examine the effectiveness of Web-based instruction
in the writing of freshman EFL students, Al-Jarf (2004) found
that the use of Web-based lessons as a supplement to tradi-
tional in-class writing instruction was significantly more effec-
tive than teaching which depended on the textbook alone. The
experimental group of students received online instruction in
which they posted their own threads, short paragraphs, stories
and poems on a discussion board. They also located informa-
tion from the Internet, as well as wrote paragraphs and checked
their own spelling using Microsoft Word.
In another study, Hertel (2003) describes an intercultural
e-mail exchange at the college level where U.S. students in a
beginning Spanish class and Mexican students in an interme-
diate English as a Second Language class corresponded weekly
for one semester. Survey results revealed this student-cen-
tered endeavor had the potential to
change cultural attitudes, increase _
knowledge and awareness of other The best
cultures, foster language acquisition, al anguag
as well as boost student interest and active, aur
motivation in language and cultural ronmenti
studies.
Bernhardt, Rivera and Kamil technoloe
conducted a study in 2004 to exam- interet
ine the practicality and efficiency ful tools 1
of Web-based placement testing for these apj
college-level language programs.
Qualitative analysis of the data indi- langiJag
cated that students, administrators
:wi
re
ith
' 1
and instructors benefited from the online placement tests. For
students, accessing a placement test at their convenience with-
out making an extra summer trip to campus was seen as an
incredible time-saver. At the same time, havin ...
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
An Empirical Study on Comment Classificationijtsrd
Due to increasing technologies in the interactive web applications, there has been a lot of development in E commerce and online social networking activities. The comments or the post always plays a vital role in understanding of the attitude towards a particular topic, product of the online users. Most of the times these comments or posts help the other users to understand the scenario and to take the right decision on the web platform. Machine learning plays a vital role to understand and to estimate the accurate semantics of these posts and comments. Natural language processing is widely used for this, Most of the times natural language processing does not yield much expected results in the classification of these comments due to the complexity in the narration. These complexities generally arise either due to poor narration of the comments or highly sarcastic contents in the comments. So to overcome these problems this paper broadly studies all the past work on comment classification and try to find the new way of machine learning to get the highly classified labels of the comments. Shubham Derhgawen | Rajesh Tak | Subhasish Chatterjee "An Empirical Study on Comment Classification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28053.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/28053/an-empirical-study-on-comment-classification/shubham-derhgawen
NEW TRENDS IN LESS-RESOURCED LANGUAGE PROCESSING: CASE OF AMAZIGH LANGUAGEkevig
The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced
people to profoundly review their relationships and interactions with digital technologies. Nevertheless,
people prefer using these technologies in their favorite languages.
New Trends in Less-Resourced Language Processing: Case of Amazigh Languagekevig
The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced people to profoundly review their relationships and interactions with digital technologies. Nevertheless, people prefer using these technologies in their favorite languages. Unfortunately, most languages are considered even as low or less-resourced, and they do not have the potential to keep up with the new needs. Therefore, this study explores how this kind of languages, mainly the Amazigh, will behave in the wholly digital environment, and what to expect for new trends. Contrary to last decades, the research gap of low and less-resourced languages is continually reducing. Nonetheless, the literature review exploration unveils the need for innovative research to review their informatization roadmap, while rethinking, in a valuable way, people’s behaviors in this increasingly changing environment. Through this work, we will try first to introduce the technology access challenges, and explain how natural language processing contributes to their overcoming. Then, we will give an overview of existing studies and research related to under and less-resourced languages’ informatization, with an emphasis on the Amazigh language. After, based on these studies and the agile revolution, a new roadmap will be presented.
Syracuse UniversitySURFACEThe School of Information Studie.docxdeanmtaylor1545
Syracuse University
SURFACE
The School of Information Studies Faculty
Scholarship
School of Information Studies (iSchool)
2001
Natural Language Processing
Elizabeth D. Liddy
Syracuse University, [email protected]
Follow this and additional works at: http://surface.syr.edu/istpub
Part of the Library and Information Science Commons, and the Linguistics Commons
This Book Chapter is brought to you for free and open access by the School of Information Studies (iSchool) at SURFACE. It has been accepted for
inclusion in The School of Information Studies Faculty Scholarship by an authorized administrator of SURFACE. For more information, please contact
[email protected]
Recommended Citation
Liddy, E.D. 2001. Natural Language Processing. In Encyclopedia of Library and Information Science, 2nd Ed. NY. Marcel Decker, Inc.
http://surface.syr.edu?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/istpub?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/istpub?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/ischool?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://surface.syr.edu/istpub?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://network.bepress.com/hgg/discipline/1018?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
http://network.bepress.com/hgg/discipline/371?utm_source=surface.syr.edu%2Fistpub%2F63&utm_medium=PDF&utm_campaign=PDFCoverPages
mailto:[email protected]
Natural Language Processing
1
INTRODUCTION
Natural Language Processing (NLP) is the computerized approach to analyzing text that
is based on both a set of theories and a set of technologies. And, being a very active area
of research and development, there is not a single agreed-upon definition that would
satisfy everyone, but there are some aspects, which would be part of any knowledgeable
person’s definition. The definition I offer is:
Definition: Natural Language Processing is a theoretically motivated range of
computational techniques for analyzing and representing naturally occurring texts
at one or more levels of linguistic analysis for the purpose of achieving human-like
language processing for a range of tasks or applications.
Several elements of this definition can be further detailed. Firstly the imprecise notion of
‘range of computational techniques’ is necessary because there are multiple methods or
techniques from which to choose to accomplish a particular type of language analysis.
‘Naturally occurring texts’ can be of any language, mode, genre, etc. The texts can be
oral or written. The only requirement is that they be in a language used by humans to
communicate to one another. Also, the text being analyzed should not be specifically
constru.
Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
MULTILINGUALISM, GLOBAL COMPETENCY AND COMMUNICATIVE PERFORMANCE FOR BUSINESS...Ram Singh
Text of the address of Professor (Dr) R.K. Singh in the National Conference on Sustainability and Development: Implications of ELT for Individual Society and Ecology at Indian Institute of Technology, Patna, 3-4 April, 2015
The Advantages ofUsilng Technology inSecond Lanlguage E.docxmehek4
The Advantages of
Usilng Technology 'in
Second Lanlguage Educat'ion
Techwnology lntegrat'lon 'in Foreilgn ILanguage
to a Cownstructmovist Learn'lng Approach
BY Li WANG
UNIVERSITY OF CENTRAL FLORIDA
38 T.H.E. Journal I www.thejournal.com I May 2005
ith the advent of networked comrputers and lnte:rnet technology,
computer-based instruction has been widely used in language class-
rooms throughout the United States. Computer technologies have
dramatically changed the way people gather information, conduct research
and communicate with others worldwide. Considering the tremendous startupyV
expenses, copyright issues, objectionable materials and other potential dis-
advantages of technology, much research has been conducted regarding: the
effectiveness of, and better strategies for, technology integration.Taking the
characteristics of language learning into account, 'this article helps answer two
important questions: Do we need technology in language classrooms? And
what kinds of services do comp:uter technologies provide for :these classroomrs?
Background Studies
Web-based writing instruction has proved to be an impor-
tant factor in enhancing the writing quality of low-ability
English as a foreign language (EFL) students. In a study
designed to examine the effectiveness of Web-based instruction
in the writing of freshman EFL students, Al-Jarf (2004) found
that the use of Web-based lessons as a supplement to tradi-
tional in-class writing instruction was significantly more effec-
tive than teaching which depended on the textbook alone. The
experimental group of students received online instruction in
which they posted their own threads, short paragraphs, stories
and poems on a discussion board. They also located informa-
tion from the Internet, as well as wrote paragraphs and checked
their own spelling using Microsoft Word.
In another study, Hertel (2003) describes an intercultural
e-mail exchange at the college level where U.S. students in a
beginning Spanish class and Mexican students in an interme-
diate English as a Second Language class corresponded weekly
for one semester. Survey results revealed this student-cen-
tered endeavor had the potential to
change cultural attitudes, increase _
knowledge and awareness of other The best
cultures, foster language acquisition, al anguag
as well as boost student interest and active, aur
motivation in language and cultural ronmenti
studies.
Bernhardt, Rivera and Kamil technoloe
conducted a study in 2004 to exam- interet
ine the practicality and efficiency ful tools 1
of Web-based placement testing for these apj
college-level language programs.
Qualitative analysis of the data indi- langiJag
cated that students, administrators
:wi
re
ith
' 1
and instructors benefited from the online placement tests. For
students, accessing a placement test at their convenience with-
out making an extra summer trip to campus was seen as an
incredible time-saver. At the same time, havin ...
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. most notable features of modern linguistics is the new collaboration
between linguists and computer wizards
These recent collaboration between two classes of people who have
never expressed any desire to couple together in history because they
travel on two different paths in two different directions.; is the
realization of the truth that success in language technology that aims at
improving the present status of the common people demands for
unconditional interdependency between linguists and computer
scientists.
Integration of the knowledge of linguistics and language technology
assists in developing detailed knowledge about the features and
functions of the properties of which can only be availed from a corpora.
3. It is almost impossible to develop software for language technology
unless without detailed knowledge of
i. Language usage
ii. Language structure
iii. Language properties and how these properties are utilized
iv. How linguistic elements are used when people use language in speech
and writing, etc.
Linguists, although well versed in language and linguistics, are crippled
if they do not have an idea about using computers in their works. The
respective needs have combined these two streams together to give
birth to a new field known as 'computational linguistics'.
The direct effect of this collaboration is the birth of a new generation of
scientists who are known as 'computational linguists', who know both
linguistics and computer science.
4. 1970s and 1980s, recorded that linguists had to depend on computer scientists to
write programs for them or to extract necessary information from corpora stored in
computers.
Linguists relied heavily on computer experts for doing their works making computer
scientists wait for necessary instructions and guidance from linguists for executing
works on corpus databases.
Such interdependency not only reduced the normal pace of work of both the groups
but also created many unwanted complexities among the interactive people due to
the underlying gulf of mutual communication; creating a real problem for linguists
who had to depend always on programmers for obtaining relevant information from
corpora for doing linguistic works.
This dependency, in linguistic research analysis, perennial dependency often
becomes futile, abortive and unproductive
The birth of computational linguists who are linguists by choice (of profession) and
who know how to write computer programmes as well as to use computers for their
research purposes took place to solve the problem.
5. Linguists
i. realization of possession of computer with high capacity for language data storage and
management
ii. assist in works related to language analysis and use without any external help
iii. installation of some easily usable corpus processing software in a computer, will allow
them not to depend always on computer scientists.
a special subgroup belonging to a coveted class in which general linguists have little
chance to enter within linguists can design software for linguistic research and
application.
scientists who belong to computer science but have enlisted their names in the list of
computational linguists due to sheer love for and interest in the subject.
A large number of old and seasoned linguists have started learning computer
programming with extra enthusiasm and zeal with an aim of using computers in their
own linguistic activities and shed new insights into this area to enrich both linguistics and
computer science
6. TRADITIONAL LINGUISTS on COMPUTIONAL LINGISTICS
introduction of computers in linguistics is comparable to forceful trespass
of a wild rogue in a garden of roses.
corpus that has actually paved the way for inviting computers in linguistics
Computer
i. Is a real misfit in the secluded cloister of thoughtful linguistics
ii. destroys the beauty and charm of linguistics with the presentation of dull
statistical data devoid of life and mystery
Computational analysis of language is neither insightful nor trustworthy
Computational linguistics, is neither time-tested nor certified by rational
interpretations.
7. admittance of corpora and computers in linguistics may result in
denial of intuitive observations hidden under the surface of language
structures.
a 'skin-deep' subject, it deals only with surface structures and hardly
succeeds in reflecting on the internal structure of language.
its judgments are often error prone and conclusions usually skewed
linguistics will definitely lose its honor, dignity and glamour if it is put
within the mechanical frame of computation
computational linguistics and find sadistic pleasure in criticizing
people who use computers in the study of linguistics.
8. The Reign of English
English has been used as the most supportive language for linguistic
research, investigation and application as well as for the formation of
linguistic theories and principles.
traditional, structural and generative linguistics or in language
technology, most of the linguistic investigations and experiments have
been carried out in English
e formulated rules on specific linguistic features just because that has
been observed in English
use of English in almost all fields of knowledge across the world, its
status as the main or second language in many countries
9. English is used as the primary language in which works of language technology are
carried out and the results of these activities are published in various journals and
newsletters.
both native and non-native users of English are ardently involved in developing tools
and systems for English. In fact, the number of non-native speakers of English
working for the English language easily exceeds the number of native English
speakers working for it. A large number of Indians, along with the Asian and African
experts, have joined this group to design and develop some outstanding language
processing tools and techniques for English. If these had been developed for their
native languages these would have been some excellent path breaking contributions
to their own country, languages and people.