Results 81 to 90 of about 7,007,067 (368)
NLTK: The Natural Language Toolkit
Annual Meeting of the Association for Computational Linguistics, 2006 The Natural Language Toolkit is a suite of program modules, data sets and tutorials supporting research and teaching in computational linguistics and natural language processing. NLTK is written in Python and distributed under the GPL open source license.
Steven Bird
semanticscholar +1 more source
An overview of Machine Translation (MT) [PDF]
Matn/Pizhūhī-i Adabī, 2005 For many years, man has thought of inventing a dream-machine that could remove the language barrier and produce the highest quality translations to mankind.
saed esfandiari
doaj +1 more source
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge [PDF]
arXiv, 2022 Natural language processing (NLP) aims at investigating the interactions between agents and humans, processing and analyzing large amounts of natural language data. Large-scale language models play an important role in current natural language processing.
arxiv
Putting Natural in Natural Language Processing
Findings of the Association for Computational Linguistics: ACL 2023, 2023 Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language.
openaire +2 more sources
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 A machine learning system can score well on a given test set by relying on heuristics that are effective for frequent example types but break down in more challenging cases.
R. Thomas McCoy +2 more
semanticscholar +1 more source
A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
The Scientific World Journal, 2014 Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
doaj +1 more source
An inference mechanism for question answering
Journal of Computer Science and Technology, 2007 This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish in open domain. AliQAn is based fundamentally on the use of syntactic patterns to identify the possible answers.
Sandra Roger +4 more
doaj
The Scientific World Journal, 2014 With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
doaj +1 more source
DEVELOPMENT OF THE METHOD OF SYNTHESIS OF NATURAL LANGUAGE MESSAGES
Sučasnì Informacìjnì Tehnologìï u Sferì Bezpeki ta Oboroni, 2017 The main subject of the article is the consideration of the interaction of operators with automated air traffic control systems. One of the possible ways of interaction is interaction in a natural limited language.
Володимир Сергійович Можаров +3 more
doaj +1 more source
Natural Language Generation Using Link Grammar for General Conversational Intelligence [PDF]
arXiv, 2021 Many current artificial general intelligence (AGI) and natural language processing (NLP) architectures do not possess general conversational intelligence--that is, they either do not deal with language or are unable to convey knowledge in a form similar to the human language without manual, labor-intensive methods such as template-based customization ...
arxiv