Search
Search Results
-
Pivot selection algorithms in metric spaces: a survey and experimental study
Similarity search in metric spaces is used widely in areas such as multimedia retrieval, data mining, data integration, to name but a few. To...
-
More Techniques: Triggers, Pivot Tables, and Variables
Throughout the book, we’ve looked at pushing our knowledge and application of SQL a little further and explored a number of techniques, some new and...
-
Language Report Norwegian
The use of Language Technology (LT) has greatly increased in Norway in recent years, as have the linguistic resources needed to make them work. In...
-
Power Pivot – The Internal Data Model of Excel
Power Pivot is a feature that takes us beyond the Excel spreadsheet. We can do things with Power Pivot that are unheard of with traditional Excel...
-
Word reordering on multiple pivots for the Japanese and Indonesian language pair
We investigated multiple pivot approaches for the Japanese and Indonesian (Ja–Id) language pair in phrase-based statistical machine translation...
-
Natural Language Processing
Any book on operationalizing Artificial Intelligence today cannot ignore growth in Natural Language Processing (NLP), with market size projected to...
-
Introducing Prolog in Language-Informed Ways
We argue that using students’ conscious and unconscious language and grammar proficiency, plus applying what we know about language acquisition, can...
-
Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction
Aspect-based sentiment analysis is a challenging yet critical task for recognizing emotions in text, with various applications in social media,...
-
State-of-the-Art in Language Technology and Language-centric Artificial Intelligence
This chapter landscapes the field of Language Technology (LT) and language- centric AI by assembling a comprehensive state-of-the-art of basic and...
-
Data Models, Pivot, and CIM
In the previous chapter, you learned about lookups and their various types. We also discussed tags, reports, and alerts in Splunk. In this chapter,...
-
Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models
Abstract—The big question in statistics is: How can we eliminate the unknown (nuisance) parameter from an underlying model? Eliminating unknown...
-
Requirements-driven data warehouse design based on enhanced pivot tables
The design of data warehouses (DWs) is based on both their data sources and users’ requirements. The more closely the DW multidimensional schema...
-
Exploiting pivot words to classify and summarize discourse facets of scientific papers
The ever-increasing number of published scientific articles has prompted the need for automated, data-driven approaches to summarizing the content of...
-
Exploiting multiple correlated modalities can enhance low-resource machine translation quality
In an effort to enhance the machine translation (MT) quality of low-resource languages, we report the first study on multimodal machine translation...
-
Datasets, Corpora and other Language Resources
This chapter provides an overview of what is available in ELG in terms of datasets, corpora and other language resources (LRs) and how this has been...
-
Korean-Chinese Machine Translation Method Based on Independent Language Features
Currently, the mainstream approach for Korean-Chinese machine translation is to improve the performance of translation models by building upon...
-
An empirical study of low-resource neural machine translation of manipuri in multilingual settings
Machine translation requires a large amount of parallel data for a production level of translation quality. This is one of the significant factors...
-
Knowledge enhanced zero-resource machine translation using image-pivoting
Zero resource machine translation usually means that there are no parallel corpora in the training of machine translation models, which can be solved...
-
Pivot Machine Translation Using Chinese as Pivot Language
Pivoting through a popular language with more parallel corpora available (e.g. English and Chinese) is a common approach to build machine translation...