Preface: Recent Advances in Natural Language Processing
نویسندگان
چکیده
منابع مشابه
Recent Advances in Natural Language Processing
Recent developments in statistical machine translation (SMT), e.g., the availability of efficient implementations of integrated open-source toolkits like Moses, have made it possible to build a prototype system with decent translation quality for any language pair in a few days or even hours. This is so in theory. In practice, doing so requires having a large set of parallel sentence-aligned bi...
متن کاملInternational Conference Recent Advances in Natural Language Processing
Part-of-Speech (POS) tagging is a key stepin many NLP algorithms. However, tweetsare difficult to POS tag because there aremany phenomena that frequently appear inTwitter that are not as common, or are en-tirely absent, in other domains: tweets areshort, are not always written maintainingformal grammar and proper spelling, andabbreviations are often used to overc...
متن کاملRecent Technological Advances in Natural Language Processing and Artificial Intelligence
There has been many philosophical discussions about the realizability of machines that are as intelligent as (or more) humans. Turing Test defines a certain methodology to test if a machine is intelligent or not. The machine may or may not have the same processing method as humans. Though there has always been a debate regarding the validity of the test (John Searle et al), satisfying Turing te...
متن کاملAdvances in natural language processing.
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition, and speech synthesis. Today's researchers re...
متن کاملAdvances in Natural Language Processing and Applications
Textual Entailment Recognition (RTE) was proposed as a generic task, aimed at building modules capable of capturing the semantic variability of texts and performing natural language inferences. These modules can be then included in any NLP system, improving its performance in fine-grained semantic differentiation. The first part of the article describes our approach aimed at building a generic,...
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ژورنال
عنوان ژورنال: CLEI Electronic Journal
سال: 2017
ISSN: 0717-5000
DOI: 10.19153/cleiej.20.1.1