Statistical Analysis
Related Papers
Augmenting Lexicons Automatically: Clustering Semantically Related Adjectives
Our work focuses on identifying various types of lexical data in large corpora through statistical analysis. In this paper, we present a method for grouping adjectives according to their mean- …...
Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses
In this paper, we describe an algorithm that employs syntactic and statistical analysis to extract bilingual collocations from a parallel corpus. The preferred syntactic patterns are obtained from idioms and …...
Building a Gold Standard for Event Detection in Croatian
AbstractThis paper describes the process of building a newspaper corpus annotated with events described in specific documents. The main difference to the corpora built as part of the TDT initiative …...
Heterogeneous Data Sources for Signed Language Analysis and Synthesis: The SignCom Project
AbstractThis paper describes how heterogeneous data sources captured in the SignCom project may be used for the analysis and synthesis of French Sign Language (LSF) utterances. The captured data combine …...
The TXM Platform: Building Open-Source Textual Analysis Software Compatible with the TEI Encoding Scheme
. This paper describes the rationale and design of an XML-TEI encoded corpora compatible analysis platform for text mining called TXM. The design of this platform is based on a …...
Development of a Corpus for Evidence Based Medicine Summarisation
In this paper we introduce some of the key NLP-related problems related to the practice of Evidence Based Medicine and propose the task of multi-document query-focused sum- marisation as a …...
An Empirical Study of the Occurrence and Co-Occurrence of Named Entities in Natural Language Corpora
AbstractNamed Entities (NEs) that occur in natural language text are important especially due to the advent of social media, and they play a critical role in the development of many …...
Statistical Analysis of Multilingual Text Corpus and Development of Language Models
AbstractThis paper presents two studies, first a statistical analysis for three languages i.e. Hindi, Punjabi and Nepali and the other, development of language models for three Indian languages i.e. Indian …...
The Impact of Cohesion Errors in Extraction Based Summaries
AbstractWe present results from an eye tracking study of automatic text summarization. Automatic text summarization is a growing field due to the modern world’s Internet based society, but to automatically …...
Unsupervised Approach for Automatic Keyword Extraction from Arabic Documents
In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that …...
Inter-Annotator Agreement in Sentiment Analysis: Machine Learning Perspective
AbstractManual text annotation is an essential part of Big Text analytics. Although annotators work with limited parts of data sets, their results are extrapolated by automated text classification and affect …...
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction
AbstractIncorporating related text information has proven successful in stock market prediction. However, it is a huge challenge to utilize texts in the enormous forex (foreign currency exchange) market because the …...
Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease
AbstractIn this article, we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech transcripts, focusing only on linguistic …...
No clues good clues: out of context Lexical Relation Classification
AbstractThe accurate prediction of lexical relations between words is a challenging task in Natural Language Processing (NLP). The most recent advances in this direction come with the use of pre-trained …...