scholarly journals Design of Belarusian and Russian natural language interfaces for online help systems

Informatics ◽  
2021 ◽  
Vol 18 (4) ◽  
pp. 40-52
Author(s):  
S. A. Hetsevich ◽  
Dz. A. Dzenisyk ◽  
Yu. S. Hetsevich ◽  
L. I. Kaigorodova ◽  
K. A. Nikalaenka
Keyword(s):  
Natural Language ◽  
User Interfaces ◽  
Speech Synthesis ◽  
Intelligent System ◽  
Dialogue System ◽  
Natural Language Interfaces ◽  
Voice Input ◽  
Natural Language Interface ◽  
Question And Answer ◽  
Language User

O b j e c t i v e s. The main goal of the work is a research of the natural language user interfaces and the developmentof a prototype of such an interface. The prototype is a bilingual Russian and Belarusian question-and-answer dialogue system. The research of the natural language interfaces was conducted in terms of the use of natural language for interaction between a user and a computer system. The main problems here are the ambiguity of natural language and the difficulties in the design of natural language interfaces that meet user expectations.M e t ho d s. The main principles of modelling the natural language user interfaces are considered. As an intelligent system, it consists of a database, knowledge machine and a user interface. Speech recognition and speech synthesis components make natural language interfaces more convenient from the point of view of usability.R e s u l t s. The description of the prototype of a natural language interface for a question-and-answer intelligent system is presented. The model of the prototype includes speech-to-text and text-to-speech Belarusian and Russian subsystems, generation of responses in the form of the natural language and formal text.An additional component is natural Belarusian and Russian voice input. Some of the data, required for human voice recognition, are stored as knowledge in the knowledge base or created on the basis of existing knowledge. Another important component is Belarusian and Russian voice output. This component is the top required for making the natural language interface more user-friendly.Co n c l u s i o n. The article presents the research of natural language user interfaces, the result of which provides the development and description of the prototype of the natural language interface for the intelligent question- and-answer system.

scholarly journals Empowering Natural Language Interfaces to Databases with Aggregations

2021 ◽  
Vol 12 (5) ◽  
Author(s):  
Alexandre F. Novello ◽  
Marco A. Casanova
Keyword(s):  
Natural Language ◽  
Relational Database ◽  
Natural Language Interfaces ◽  
Aggregation Functions ◽  
Natural Language Interface ◽  
Measurement Units ◽  
Database Interface ◽  
Multiple Attributes ◽  
Generic Module ◽  
Query Aggregation

A Natural Language Interface to Database (NLIDB) refers to a database interface that translates a question asked in natural language into a structured query. Aggregation questions express aggregation functions, such as count, sum, average, minimum and maximum, and optionally a group by clause and a having clause. NLIDBs deliver good results for standard questions but usually do not deal with aggregation questions. The main contribution of this article is a generic module, called GLAMORISE (GeneraL Aggregation MOdule using a RelatIonal databaSE), that extends NLIDBs to cope with aggregation questions. GLAMORISE covers aggregations with ambiguities, timescale differences, aggregations in multiple attributes, the use of superlative adjectives, basic recognition of measurement units, and aggregations in attributes with compound names.

Issues in the Syntactic Parsing of Queries for a Natural Language Interface to Databases

2021 ◽  
pp. 157-179
Author(s):  
Alexander Gelbukh ◽  
José A. Martínez F. ◽  
Andres Verastegui ◽  
Alberto Ochoa
Keyword(s):  
Natural Language ◽  
State Of The Art ◽  
Experimental Tests ◽  
Syntactic Parsing ◽  
Natural Language Interfaces ◽  
Natural Language Interface ◽  
Overall Performance

In this chapter, an exhaustive parser is presented. The parser was developed to be used in a natural language interface to databases (NLIDB) project. This chapter includes a brief description of state-of-the-art NLIDBs, including a description of the methods used and the performance of some interfaces. Some of the general problems in natural language interfaces to databases are also explained. The exhaustive parser was developed, aiming at improving the overall performance of the interface; therefore, the interface is also briefly described. This chapter also presents the drawbacks discovered during the experimental tests of the parser, which show that it is unsuitable for improving the NLIDB performance.

scholarly journals The history and recent advances of Natural Language Interfaces for Databases Querying

2021 ◽  
Vol 229 ◽  
pp. 01039
Author(s):  
Khadija Majhadi ◽  
Mustapha Machkour
Keyword(s):  
Natural Language ◽  
Query Language ◽  
Natural Language Interfaces ◽  
Recent Advances ◽  
Database Structure ◽  
Natural Language Interface ◽  
Information Management Systems ◽  
Database Query Language ◽  
Indispensable Tool ◽  
Expert Database

Databases have been always the most important topic in the study of information systems, and an indispensable tool in all information management systems. However, the extraction of information stored in these databases is generally carried out using queries expressed in a computer language, such as SQL (Structured Query Language). This generally has the effect of limiting the number of potential users, in particular non-expert database users who must know the database structure to write such requests. One solution to this problem is to use Natural Language Interface (NLI), to communicate with the database, which is the easiest way to get information. So, the appearance of Natural Language Interfaces for Databases (NLIDB) is becoming a real need and an ambitious goal to translate the user’s query given in Natural Language (NL) into the corresponding one in Database Query Language (DBQL). This article provides an overview of the state of the art of Natural Language Interfaces as well as their architecture. Also, it summarizes the main recent advances on the task of Natural Language Interfaces for databases.

How We Talk with Robots: Eliciting Minimally-Constrained Speech to Build Natural Language Interfaces and Capabilities

2018 ◽  
Vol 62 (1) ◽  
pp. 160-164
Author(s):  
Kimberly A. Pollard ◽  
Stephanie M. Lukin ◽  
Matthew Marge ◽  
Ashley Foots ◽  
Susan G. Hill
Keyword(s):  
Natural Language ◽  
User Interfaces ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Future Directions ◽  
Natural Language Interface ◽  
Language Needs ◽  
Multiple Modality ◽  
Human Robot Collaboration ◽  
Constrained Robot

Industry, military, and academia are showing increasing interest in collaborative human-robot teaming in a variety of task contexts. Designing effective user interfaces for human-robot interaction is an ongoing challenge, and a variety of single and multiple-modality interfaces have been explored. Our work is to develop a bi-directional natural language interface for remote human-robot collaboration in physically situated tasks. When combined with a visual interface and audio cueing, we intend for the natural language interface to provide a naturalistic user experience that requires little training. Building the language portion of this interface requires first understanding how potential users would speak to the robot. In this paper, we describe our elicitation of minimally-constrained robot-directed language, observations about the users’ language behavior, and future directions for constructing an automated robotic system that can accommodate these language needs.

AN ENGINEERING ENVIRONMENT FOR NATURAL LANGUAGE INTERFACES TO INTERACTIVE COMPUTER SYSTEMS

1994 ◽  
Vol 03 (04) ◽  
pp. 557-579 ◽  
Author(s):  
BILL Z. MANARIS
Keyword(s):  
Natural Language ◽  
Electronic Mail ◽  
Computer Systems ◽  
Morphological Processing ◽  
Resource Location ◽  
Natural Language Interfaces ◽  
Behavior Development ◽  
Functional Behavior ◽  
Natural Language Interface ◽  
Pragmatic Aspects

This paper discusses the development of natural language interfaces to interactive computer systems using the NALIGE user interface management system. The task of engineering such interfaces is reduced to producing a set of well-formed specifications which describe lexical, syntactic, semantic, and pragmatic aspects of the selected application domain. These specifications are converted by NALIGE to an autonomous natural language interface that exhibits the prescribed linguistic and functional behavior. Development of several applications is presented to demonstrate how NALIGE and the associated development methodology may facilitate the design and implementation of practical natural language interfaces. This includes a natural language interface to Unix and its subsequent porting to MS-DOS, VAX/VMS, and VM/CMS; a natural language interface for Internet navigation and resource location; a natural language interface for text pattern matching; a natural language interface for text editing; and a natural language interface for electronic mail management. Additionally, design issues and considerations are identified/addressed, such as reuse and portability, content coupling, morphological processing, scalability, and habitability.

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