Using Complex Networks for Language Processing: The Case of Summary Evaluation

2006 ◽  
Author(s):  
Thiago Salgueiro Pardo ◽  
Lucas Antiqueira ◽  
Maria Gracas Volpe Nunes ◽  
Osvaldo Oliveira ◽  
Luciano Fontoura Costa
Keyword(s):  
Complex Networks ◽  
Language Processing

COMPLEX NETWORKS ANALYSIS OF MANUAL AND MACHINE TRANSLATIONS

2008 ◽  
Vol 19 (04) ◽  
pp. 583-598 ◽  
Author(s):  
DIEGO R. AMANCIO ◽  
LUCAS ANTIQUEIRA ◽  
THIAGO A. S. PARDO ◽  
LUCIANO da F. COSTA ◽  
OSVALDO N. OLIVEIRA ◽  
...  
Keyword(s):  
Complex Networks ◽  
Machine Translation ◽  
Language Processing ◽  
Text Analysis ◽  
Shortest Paths ◽  
Quality Measurement ◽  
Clustering Coefficient ◽  
Text Quality ◽  
Text Features ◽  
Networks Analysis

Complex networks have been increasingly used in text analysis, including in connection with natural language processing tools, as important text features appear to be captured by the topology and dynamics of the networks. Following previous works that apply complex networks concepts to text quality measurement, summary evaluation, and author characterization, we now focus on machine translation (MT). In this paper we assess the possible representation of texts as complex networks to evaluate cross-linguistic issues inherent in manual and machine translation. We show that different quality translations generated by MT tools can be distinguished from their manual counterparts by means of metrics such as in- (ID) and out-degrees (OD), clustering coefficient (CC), and shortest paths (SP). For instance, we demonstrate that the average OD in networks of automatic translations consistently exceeds the values obtained for manual ones, and that the CC values of source texts are not preserved for manual translations, but are for good automatic translations. This probably reflects the text rearrangements humans perform during manual translation. We envisage that such findings could lead to better MT tools and automatic evaluation metrics.

Language processing is not a race against time

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Language Processing ◽  
Cognitive Functions ◽  
Memory Systems ◽  
Language System ◽  
Moderating Factors

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.

Cognitive Processing of Miscommunication in Interactive Listening: An Evaluation of Listener Indecision and Cognitive Effort

2021 ◽  
pp. 1-17
Author(s):  
Jennifer M. Roche ◽  
Arkady Zgonnikov ◽  
Laura M. Morett
Keyword(s):  
Decision Making ◽  
Cognitive Processing ◽  
Language Processing ◽  
Cognitive Effort ◽  
Mouse Tracking ◽  
Computer Mouse ◽  
Decision Making Processes ◽  
Computer Mouse Tracking ◽  
Listening Task ◽  
Processing Effort

Purpose The purpose of the current study was to evaluate the social and cognitive underpinnings of miscommunication during an interactive listening task. Method An eye and computer mouse–tracking visual-world paradigm was used to investigate how a listener's cognitive effort (local and global) and decision-making processes were affected by a speaker's use of ambiguity that led to a miscommunication. Results Experiments 1 and 2 found that an environmental cue that made a miscommunication more or less salient impacted listener language processing effort (eye-tracking). Experiment 2 also indicated that listeners may develop different processing heuristics dependent upon the speaker's use of ambiguity that led to a miscommunication, exerting a significant impact on cognition and decision making. We also found that perspective-taking effort and decision-making complexity metrics (computer mouse tracking) predict language processing effort, indicating that instances of miscommunication produced cognitive consequences of indecision, thinking, and cognitive pull. Conclusion Together, these results indicate that listeners behave both reciprocally and adaptively when miscommunications occur, but the way they respond is largely dependent upon the type of ambiguity and how often it is produced by the speaker.

Complex Networks

2009 ◽  
Author(s):  
Reuven Cohen ◽  
Shlomo Havlin
Keyword(s):  
Complex Networks

Bayesian Speech and Language Processing

2015 ◽  
Author(s):  
Shinji Watanabe ◽  
Jen-Tzung Chien
Keyword(s):  
Language Processing ◽  
Speech And Language ◽  
Speech And Language Processing

Miscellaneous Studies in Language Processing

1985 ◽  
Vol 30 (1) ◽  
pp. 43-44
Author(s):  
J. Kathryn Bock
Keyword(s):  
Language Processing

In Search of a Human Language Processing System

1985 ◽  
Vol 30 (7) ◽  
pp. 529-531
Author(s):  
Patrick Carroll
Keyword(s):  
Language Processing ◽  
Processing System ◽  
Human Language
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