Natural language and machine translation

Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG).

The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano--and most other languages--remains limited.

Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language.

Many applications within natural language processing involve performing text-to-text transformations, i.

Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences.

Opportunity and Curiosity find similar rocks on Mars.

Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field.

In recent years, online social networking has revolutionized interpersonal communication.

Neural networks are a family of powerful machine learning models.

This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies.

This book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format.

The literary imagination may take flight on the wings of metaphor, but hard-headed scientists are just as likely as doe-eyed poets to reach for a metaphor when the descriptive need arises.

This book provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective.

The attempt to spot deception through its correlates in human behavior has a long history.

It has been estimated that over a billion people are using or learning English as a second or foreign language, and the numbers are growing not only for English but for other languages as well.

The World Wide Web constitutes the largest existing source of texts written in a great variety of languages.

In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE).

Many NLP tasks have at their core a subtask of extracting the dependencies-who did what to whom-from natural language sentences.

This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data.

People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text.

More and more historical texts are becoming available in digital form.

Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks.

A major part of natural language processing now depends on the use of text data to build linguistic analyzers.

This book provides an overview of various techniques for the alignment of bitexts.

This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language.

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications.

This book is aimed at providing an overview of several aspects of semantic role labeling.

Considerable progress has been made in recent years in the development of dialogue systems that support robust and efficient human-machine interaction using spoken language.

This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP).

Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits.

Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years.

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives.

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.

Human language acquisition has been studied for centuries, but using computational modeling for such studies is a relatively recent trend.

Search for information is no longer exclusively limited within the native language of the user, but is more and more extended to other languages.

This book constitutes the refereed proceedings of the 13th International Tbilisi Symposium on Logic, Language and Computation, TbiLLC 2019, held in Batumi, Georgia, in September 2019.

This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global 'infodemic'.

This book constitutes the proceedings of the 5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021, which was held during November 2021.

This book evaluates the impact of relevant factors affecting the results of speech quality assessment studies carried out in crowdsourcing.

This book constitutes selected revised papers of the 15th International Conference, NooJ 2021, held in Besancon, France, in June 2021.

This book constitutes the refereed proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, which was held in December 2021.

This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction.

This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021.

This book contains a comprehensive treatment of advanced LaTeX features.

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021.

This book constitutes the refereed proceedings of the 27th China Conference on Information Retrieval, CCIR 2021, held in Dalian, China, in October 2021.

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021.

This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021.