scholarly journals Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations

2020 ◽  
Vol 6 ◽  
pp. 60-73
Author(s):  
László Drienkó
Keyword(s):  
Computer Experiments ◽  
Text Segmentation ◽  
Sequence Processing ◽  
Word Boundaries

The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing. The AG model is based on groups of similar utterances that enable combinatorial mapping of novel utterances. LCh segmentation is concerned with cognitive text segmentation, i.e. with detecting word boundaries in a sequence of linguistic symbols. Our observations are based on the text of Le petit prince (The little prince) by Antoine de Saint-Exupéry in three languages: French, English, and Hungarian. The data suggest that word-based LCh segmentation is not very efficient with respect to utterance boundaries, however, it can provide useful word combinations for AG processing. Typological differences between the languages are also reflected in the results.

Co-Articulation at Word Boundaries and the Frequency Effect in Serial Recall

2012 ◽  
Author(s):  
Leonie M. Miller ◽  
Steven Roodenrys ◽  
Benjamin Arcioni
Keyword(s):  
Serial Recall ◽  
Frequency Effect ◽  
Word Boundaries

Marcatori conclusivi del discorso diretto in italiano antico

2019 ◽  
Vol 70 (1) ◽  
pp. 105-122
Author(s):  
Davide Mastrantonio
Keyword(s):  
Word Reading ◽  
Old French ◽  
Spoken Word ◽  
Text Segmentation ◽  
Direct Speech ◽  
Unequal Distribution ◽  
Specific Subset ◽  
Ancient Texts

Abstract In this paper we deal with a specific subset of direct speech markers, to which little or no attention has been given so far: the expressions which codify the ending of the direct speech (“marcatori conclusivi del discorso diretto”). We analyse these markers in Old Italian texts, comparing them with their Latin and, in some cases, Old French equivalents. In the introduction (§1), we take into account various general issues related to ancient texts, namely the practice of spoken-word reading and the lack of systematic punctuation marking that helps text segmentation. After that (§2), we classify the different strategies ancient writers had at their disposal to signal that a direct speech is over, hence that what follows has to be interpreted as the narrator voice; the markers are organized in a range from most explicit to most implicit (disse > quando ebbe detto > a queste parole > allora > [Ø]). Thereafter (§3), we focus on two specific markers, the participial marker (detto questo) and the “connector + finite tense” marker (quando ebbe detto questo) in a corpus of nine texts. Though these two markers are roughly synonymic, their occurrence is not uniform among the analysed texts. The explanation of their unequal distribution is that they belong to different discourse traditions (Diskurstraditionen): “quando + finite tense” is a typical expression attested in Romance narrations (the so-called “quand-Satz”), whereas detto questo appears to be dependent on Latin tradition.

scholarly journals Dynamic pricing with demand disaggregation for hotel revenue management

2021 ◽  
Author(s):  
Andrei M. Bandalouski ◽  
Natalja G. Egorova ◽  
Mikhail Y. Kovalyov ◽  
Erwin Pesch ◽  
S. Armagan Tarim
Keyword(s):  
Dynamic Pricing ◽  
Programming Model ◽  
Computer Experiments ◽  
Price Policy ◽  
Linear Constraints ◽  
Economic Consequences ◽  
Elastic Model ◽  
Computationally Efficient ◽  
Data Set ◽  
Dynamic Price

AbstractIn this paper we present a novel approach to the dynamic pricing problem for hotel businesses. It includes disaggregation of the demand into several categories, forecasting, elastic demand simulation, and a mathematical programming model with concave quadratic objective function and linear constraints for dynamic price optimization. The approach is computationally efficient and easy to implement. In computer experiments with a hotel data set, the hotel revenue is increased by about 6% on average in comparison with the actual revenue gained in a past period, where the fixed price policy was employed, subject to an assumption that the demand can deviate from the suggested elastic model. The approach and the developed software can be a useful tool for small hotels recovering from the economic consequences of the COVID-19 pandemic.

A Deep Learning Approach for Text Segmentation in Document Analysis

2020 ◽  
Author(s):  
Van-Linh Pham ◽  
Xuan-Phung Pham ◽  
Hoai-Nam Tran ◽  
Sy-Tuyen Ho ◽  
Vinh-Loi Ly ◽  
...  
Keyword(s):  
Deep Learning ◽  
Document Analysis ◽  
Text Segmentation ◽  
Learning Approach

scholarly journals Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction

Technometrics ◽  
2021 ◽  
pp. 1-29
Author(s):  
Rémi Stroh ◽  
Julien Bect ◽  
Séverine Demeyer ◽  
Nicolas Fischer ◽  
Damien Marquis ◽  
...  
Keyword(s):  
Computer Experiments ◽  
Uncertainty Reduction ◽  
Sequential Design
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