scholarly journals The First Corpus-Driven Lexical Database of Lithuanian as L2

2020 ◽  
Author(s):  
Jolanta Kovalevskaitė ◽  
Loïc Boizou ◽  
Agnė Bielinskienė ◽  
Laima Jancaitė ◽  
Erika Rimkutė
Keyword(s):  
Pattern Recognition ◽  
User Interface ◽  
Language Production ◽  
Pattern Analysis ◽  
Lexical Database ◽  
Word Usage ◽  
Inductive Procedure ◽  
Lexical Competence ◽  
Selection Of

The article presents a new resource for A2-B2 learners of Lithuanian as L2 to improve their lexical competence and language production skills. The lexical database is a lexicographic application of the Lithuanian Pedagogic Corpus which was used both to develop headword lists and to collect word usage information. For this study, we adopt the inductive procedure of Corpus Pattern Analysis which was partly automated using the Lithuanian Sketch Grammar in Sketch Engine. We explain the model for pattern recognition and description, sense division, the selection of examples and give some details concerning the user interface.

Grammatical patterns in the corpus-driven “Lexical Database of Lithuanian”

2021 ◽  
Vol 12 ◽  
pp. 7-30
Author(s):  
Agnė Bielinskienė ◽  
◽  
Jolanta Kovalevskaitė ◽  
Erika Rimkutė
Keyword(s):  
Foreign Language ◽  
Pattern Analysis ◽  
Lexical Database ◽  
Parts Of Speech ◽  
Word Usage ◽  
Frequent Type ◽  
Inductive Procedure

This paper describes the grammatical patterning of two parts of speech – nouns and adjectives – included in the corpus-driven “Lexical Database of Lithuanian” as a foreign language. The lexical database is a lexicographic application of the Lithuanian Pedagogic Corpus (approx. 620.000 tokens) which was used to develop headword lists and to collect word usage information in the form of corpus patterns. In this project, we adopted a partially automated inductive procedure of Corpus Pattern Analysis for 207 verbs, 386 nouns, 87 adjectives, and 41 adverbs. The detected corpus patterns reflect different meanings of the headword. Each pattern presents information on grammatical, semantic, and lexical levels. Manually selected examples illustrate all pattern components. In this paper, 673 patterns with nouns and 99 patterns with adjectives will be analysed discussing their syntactic behaviour in detail and providing some comments on lexis-grammar interface. The majority of patterns with nouns and adjectives are minimal patterns which include only the closest syntactical partners. This result is influenced by different procedures used to describe patterns with nouns, adjectives, and adverbs and patterns with verbs. Due to rich grammatical information, there are several similar patterns with one main (usually the most frequent) type and its variants. Pattern variants show that the grammatical characteristics of a specific word usage are rather individual.

Rule-Based Process Selection of Hole Making Operations for Integrated Process Planning

2005 ◽  
Author(s):  
Dusan N. Sormaz ◽  
Pravin Khurana ◽  
Ajit Wadatkar
Keyword(s):  
User Interface ◽  
Manufacturing System ◽  
Selection Procedure ◽  
Machining Process ◽  
Integrated Process ◽  
Process Selection ◽  
Rule Based ◽  
Hole Making ◽  
Significant Attention ◽  
Selection Of

Process selection as a part of CAPP has captured significant attention in CAPP research. Procedures have been developed for backward and forward algorithms in process selection. Most of these procedures lack the complete integration of process selection into CAPP system. In this paper, we present the results of the development and prototype implementation for process selection module for hole making operations for integration with Math Based Manufacturing System already in use in industrial partner. We have developed architecture and implemented module for rule-based machining process selection of hole making operations. The architecture enables the interface from the Process Selection prototype to Math Based Manufacturing System (APPS). The prototype also includes the user interface for interaction with the process selection procedure. Actions for starting prototype from APPS, performing process selection steps and sending the result back to APPS have been developed and implemented.

Word form retrieval in language production

2007 ◽  
pp. 470-488 ◽  
Author(s):  
Antje S. Meyer ◽  
Eva Belke
Keyword(s):  
Language Production ◽  
Knowledge Building ◽  
Word Production ◽  
Word Form ◽  
Lexical Selection ◽  
Single Word ◽  
Phonological Representations ◽  
Phonological Knowledge ◽  
Phonetic Code ◽  
Selection Of

Current models of word form retrieval converge on central assumptions. They all distinguish between morphological, phonological, and phonetic representations and processes; they all assume morphological and phonological decomposition, and agree on the main processing units at these levels. In addition, all current models of word form postulate the same basic retrieval mechanisms: activation and selection of units. Models of word production often distinguish between processes concerning the selection of a single word unit from the mental lexicon and the retrieval of the associated word form. This article explores lexical selection and word form retrieval in language production. Following the distinctions in linguistic theory, it discusses morphological encoding, phonological encoding, and phonetic encoding. The article also considers the representation of phonological knowledge, building of phonological representations, segmental retrieval, retrieval of metrical information, generating the phonetic code of words, and a model of word form retrieval.

Bio-Inspired Techniques in Human-Computer Interface for Control of Assistive Devices

2018 ◽  
pp. 23-46
Author(s):  
P. Geethanjali
Keyword(s):  
Pattern Recognition ◽  
Control Strategy ◽  
External World ◽  
Assistive Devices ◽  
Assistive Device ◽  
Prosthetic Hand ◽  
Orthotic Devices ◽  
Prosthetic Devices ◽  
Navigation Control ◽  
Selection Of

Most of the assistive devices are of user contact based control like body-powered prosthetic hand, joystick control of wheelchair, sip-and-puff, etc. and have a limited number of control movements. The performance of these assistive devices improves using bio-signals/gesture based control embedded in the processor. Gesture based control is widely used in wheelchair navigation control, communication with external world for neuromuscular impaired subjects. On the other hand, bio-signals are used widely in prosthetic devices, wheelchair control, orthotic devices, etc. with pattern recognition based control strategy. The choice and number of features used in pattern recognition for accurate control of assistive device is crucial. Further, these features performance also varies with the classifier. The appropriate selection of combination of pattern recognition will enhance the accuracy. This chapter focuses on bio-inspired techniques in selection of features and classification for the pattern recognition based assistive device control.

Impact of Syntactical and Statistical Pattern Recognition on Prognostic Reasoning

2021 ◽  
pp. 38-55
Author(s):  
Rithesh Pakkala P. ◽  
Prakhyath Rai ◽  
Shamantha Rai Bellipady
Keyword(s):  
Pattern Recognition ◽  
Predictive Model ◽  
Missing Values ◽  
Machine Learning Algorithms ◽  
Large Set ◽  
Statistical Pattern ◽  
Future Prediction ◽  
Rich Information ◽  
Statistical Approaches ◽  
Selection Of

This chapter provides insight on pattern recognition by illustrating various approaches and frameworks which aid in the prognostic reasoning facilitated by feature selection and feature extraction. The chapter focuses on analyzing syntactical and statistical approaches of pattern recognition. Typically, a large set of features have an impact on the performance of the predictive model. Hence, there is a need to eliminate redundant and noisy pieces of data before developing any predictive model. The selection of features is independent of any machine learning algorithms. The content-rich information obtained after the elimination of noisy patterns such as stop words and missing values is then used for further prediction. The refinement and extraction of relevant features yields in performance enhancements of future prediction and analysis.

scholarly journals The Effects of Using a Hypertext Tool for Selecting Design Guidelines

1992 ◽  
Vol 36 (4) ◽  
pp. 428-432 ◽  
Author(s):  
Jeffrey A. Fox
Keyword(s):  
User Interface ◽  
Interface Design ◽  
Selection Process ◽  
User Interface Design ◽  
Design Guidelines ◽  
Complex Task ◽  
Additional Time ◽  
Time Saving ◽  
Selection Of

Designing a User-System Interface (USI) is a complex task that has been approached in many ways. One approach has been to use USI design guidelines to help improve the quality and consistency of USIs. To be effective, a general set of guidelines must be tailored to a specific application. This study investigated the effects of using a hypertext design aid (DRUID, Dynamic Rules for User Interface Design) for the selection of USI guidelines by both experienced and novice guideline users. Results indicate that, in general, the participants performed their tasks as well with DRUID as with the book. However, the participants accessed the material differently for each medium and they selected more guidelines that were relevant when using the paper book. Subjectively, the software was preferred because it provided assistance in the selection process and provided additional time-saving design aids not available in the book.

Divergent Selection of Pattern Recognition Receptors in Mammals with Different Ecological Characteristics

2018 ◽  
Vol 86 (2) ◽  
pp. 138-149 ◽  
Author(s):  
Ran Tian ◽  
Meixiu Chen ◽  
Simin Chai ◽  
Xinghua Rong ◽  
Bingyao Chen ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Receptors ◽  
Divergent Selection ◽  
Ecological Characteristics ◽  
Selection Of

Characterization of Stylosanthes introductions by using seed protein patterns

1975 ◽  
Vol 26 (3) ◽  
pp. 467 ◽  
Author(s):  
PJ Robinson ◽  
RG Megarrity
Keyword(s):  
Euclidean Distance ◽  
Seed Protein ◽  
Pattern Analysis ◽  
Polyacrylamide Gel Electrophoresis ◽  
Species Level ◽  
Protein Patterns ◽  
Data Set ◽  
Distance Coefficient ◽  
Selection Of

Seed protein patterns of 182 Stylosanthes accessions, representing 16 species and two hybrids, were obtained by polyacrylamide gel electrophoresis of crude extracts. All species could be recognized by examination of photographs and densitometer traces of the gels. Within the species capitata, guyanensis, hamata and viscosa considerable variation occurred, whilst the variation in humilis, scabra and fruticosa was not as great. Data from the densitometer traces were analysed by various methods of pattern analysis and the resulting classifications compared. A variance-standardized Euclidean distance coefficient was found to be the similarity measure of choice, whilst selection of fusion strategy was not as critical.Species relationships obtained by using the chemical data were not in agreement with the accepted taxonomic division of the genus into the sections Styposanthes and Stylosanthes. A classification based on the complete data set was compared with a working classification based on morphological and agronomic data, which is used in the agronomic assessment of the genus. Only within S. scabra did the two classifications conform. Morphological–agronomic (M–A) types within the species hamata and subsericea could be distinguished by the examination of the fine structure of the densitometer traces, whilst groups based on protein data in the species ahumilis, guyanensis, fruticosa and viscosa did not correspond with M–A groups. The application of seed protein patterns as a rapid and inexpensive means of identifying introductions of the genus at the species level, as well as characterizing types within certain species, is proposed.

Sign in / Sign up

Export Citation Format

Share Document