2018, ISBN: 9781681177700

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paperback. New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Language: English Publisher: People'… Mehr…

paperback. New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Language: English Publisher: People's Posts and Telecommunications Press SQL Definitive Guide (4th Edition) is the latest version of the world-renowned database expert Joe Celko classics. it reveals the formulation of the theory of the SQL standard and practical considerations. from a novel perspective analysis of the idea of ??resolving SQL programming. is a must-read for SQL Advanced not to be missed. Getting Started with SQL is not difficult. the difficulty is advanced and improved. As a member of the SQL standards committee. Celko aside commercial database products in this book. a comprehensive. in-depth. thorough analysis of the SQL language itself. Book ANSI SQL-89. taking into account the SQL-92 features fully explain the relational database design. optimization. and operational aspects of a variety of key issues. SQL data types. queries. grouping. set operations. optimization. data telescopic and senior theme coding. transaction and concurrency control model professional SQL programmer must understand and master everything. The language of humor. unique perspective. to read often very sobering sense of Brief Encounter. Book Peiyoudaliang straightforward sample code is also a book widely critical readers praised and respected. SQL Definitive Guide (4th edition) for some SQL programming experience senior SQL programmer or DBA learning reference. Contents: 1.4. the 1.1 Entity Table 1.2 of Chapter 1 of the database and file system relations Table 1.3 line and record mode object with field 1.5 1.6 CREATE SCHEMA statement Chapter 2 transaction concurrency control 2.1 sessions the 2.2 Affairs and ACID2.2.1 of atomic 2.2. 2 Conformance 2.2.3 2.2.4 Persistent isolation 2.3 Concurrency Control 2.3.1 three phenomena 2.4 2.3.2 isolation level pessimistic concurrency control 2.5 snapshot isolation and optimistic concurrency 2.6 logic Concurrency Control 2.7 deadlock and livelock first Chapter 3 database schema objects 3.1 CREATE SCHEMA statement 3.2 create the CREATE the PROCEDURE. CREATE FUNCTION to CREATE TRIGGER statement 3.3 CREATE DOMAIN statement 3.4 the sequence 3.5 create assertion 3.5.1 Mode level constraints use view 3.5.2 is constrained using the primary key and assertions 3.6 character set Create a character set structure 3.6.1 to 3.6.2. to create collation 3.6.3 create translation Chapter 4 positioning data and special values ??of 4.1 explicit physical locator a 4.1.1 ROWID and the physical disk address 4.1.2 identity column 4.2 generates the identifier 4.2.1 GUID4.2.2 UUID4.3 sequence generation function 4.4 4.5.1 Series pre-assigned a value of 4.5 special sequence table 4.5.2 primes 4.5.3 random order value 4.5.4 Chapter 5 of the other sequences underlying table and related elements 5.1 CREATE TABLE statement column constraint 5.1.1 5.1.2 DEFAULT clause 5.1.3 NOT NULL constraints 5.1.4 CHECK () constraint 5.1.5 UNIQUE and PRIMARY KEY constraints 5.1.6 REFERENCES clause 5.2 nested UNIQUE constraint 5.2.1 overlap key 5.2.2 single-column and multi-column unique 5.3 CREATE ASSERTION constraint 5.4 temporary operation Table 5.5 Table 5.5.1 DROP TABLE 5.5.2 ALTER TABLE5.6 avoid attribute segmentation 5.6.1 table-level attribute segmentation 5.6.2 line level attributes split 5.7 DDL in the performance class hierarchy relations 5.8 explicit physical locator 5.9 5.9.1 ROWID physical disk address 5.9.2 identity column since added 5.9.3 Comparison identity column and sequence 5.10 to generate identifiers 5.10.1 industry standard unique identifier unique identifier of the Department of Defense 5.10.2 5.10.3 5.10.4 sequence generation function only value generator the 5.10.5 verify source 5.11 5.15 CREATE TRIGGER statement duplicate rows 5.12 other schema objects 5.13 temporary table 5.14 the CREATE DOMAIN statement 5.16 CREATE PROCEDURE statement 5.17 DECLARE CURSOR statement 5.17.1 How to Use the cursor the 5.17.2 location update and delete statements Chapter 6 procedural. the basic principle of the semi-procedural and declarative programming 6.1 Software Engineering 6.2 6.3 degree of coupling 6.4 cohesion across 6.4 .1 A common error 6.4.2 an improved 6.5 6.5.2 calculate an alternative Find 6.5.3 Fibonacci series 6.6 predicate function 6.7 the process of decomposition and logic decomposition techniques 6.5.1 Data Sheet and generate code rewrite 6.7.1 the procedural decomposition scheme 6.7.2 logic decomposition scheme Chapter 7 process structure 7.1 7.2 Creating Triggers 7.3 cursor 7.3.1 DECLARE CURSOR statement 7.3.2 an ORDER BY clause 7.3.3 the OPEN statement 7.3.4 FETCH creation process statement 7.3.5 CLOSE statement 7.3.6 DEALLOCATE. statement 7.3.7 How to Use the cursor the 7.3.8 location update and delete statements 7.4 sequence of 7.5 generated column the Auxiliary Table 8.1 of Chapter 8 of the 7.6 table function sequence table 8.1.1 lists enumerate 8.1 .2 sequence mapping cycle replace the iterative loop 8.2 8.1.3 8.2.3 Multi-parameter the auxiliary table 8.2.4 range auxiliary table 8.2.5 hierarchy lookup the auxiliary table 8.2.1 simple conversion auxiliary table 8.2.2 multi-conversion value auxiliary table Auxiliary Table 8.2.6 a true look-up table the 8.3 auxiliary function table 8.3.1 negated function auxiliary table 8.3.2 8.4.2 Scale 8.4.1 pre-assigned values ??primes 8.4 the interpolating 8.4 global constant auxiliary function table. 8.4.4 random order of Number 3 Fibonacci value 8.5 process code into the table Notes Chapter 9 standardized 9.1 functional dependency and multivalued dependencies 9.2 First Normal Form (1NF) 9.3 Second Normal Form (2NF) 9.4 first paradigm (3NF) 9.5 Basic keyword paradigm (EKNF) 9.6 Boyce-Codd paradigm (BCNF) 9.7 Fourth Normal Form (4NF) 9.8 Fifth Normal Form (5NF) 9.9 domains - key paradigm (DKNF) 9.10 standardized practical skills 9.11 key type 9.11.1 natural key 9.11.2 artificial key 9.11.3 external exposed physical locator 9.12 10.1 Numeric Types 10.2 Chapter 10 SQL numeric data value type conversion of non-standardized practical skills 10.2.1 numerical rounding and truncation 10.2.2 CAST () function 10.3 four arithmetic functions 10.4 arithmetic operations and NULL10.5 value of NULL conversion 10.5.1 NULLIF () function 10.5.2 COALESCE () function 10.6 Mathematical Functions 10.6.1 Mathematical Operators 10.6.2 index the function 10.6.3 scalar function 10.6.4 convert a numeric value stored the text 10.7 only value generator 10.7.1 there is a gap sequence 10.7.2 pre-assigned values ??10.8 IP address 10.8.1 CHAR (39) 10.8.2 binary storage the separate SMALLINT Chapter 11 SQL time data type 11.1 Description 11.2 SQL data types on calendar standards 11.2.1 10.8.3 Internal processing timestamp 11.2 11.2.2 Date Format standard 11.2.3. 4 processing time 11.2.5 time zone and daylight saving time data types 11.4 11.3 INTERVAL time characteristics of the data model of arithmetic 11.5 11.5.1 11.5.2 relationship between duration of Chapter 12 the character datatypes 12.1 SQL string duration modeling 12.1.2 string sorting problem 12.1.1 string equal string grouping of 12.1.3 12.2 Standard String Functions 12.3 12.4 Cutter Table 12.5 Nested replace Chapter 13 NULL: SQL missing data 13.1 common vendor extensions the NULL values ??in the missing values ??in the empty table and missing Table 13.2 13.3 context and missing value 13.4 Comparison NULL13.5 NULL and logical 13.5.1 sub-NULL values ??in the query the logic value predicate NULL13.5.2 predicates 13.6 arithmetic 13.7 function Chapter 14. 13.8 NULL and host language design advice 13.9 NULL 13.10 with multi NULL values. distance function of multi-column data elements 14.1 14.2 IPv4 addresses are stored in SQL 14.2.1 using a single VARCHAR (15) column represents the IPv4 address 14.2.2 use an INTEGER column represents the IPv4 address use four SMALLINT column represents the IPv4 address in SQL 14.3 14.4 Currency with other units of the storage IPv6 addresses conversion 14.5 Social Security number 14.6 rationals Chapter 15 table operation 15.1 DELETE FROM statement 15.1.1 14.2.3 DELETE FROM clause 15.1.2 WHERE clause 15.1.3 Data Execution delete the auxiliary table 15.1.4 delete 15.1.5 without declarative referential integrity delete the 15.2 INSERT INTO statement in more than one table at the same table 15.2 .1 INSERT INTO clause 15.2.2 insert nature 15.2.3 bulk loading and unloading utility using the second table 15.3 UPDATE statement 15.3.1 UPDATE clause 15.3.2 WHERE clause 15.3.3 SET clause 15.3.4 description of the defect to be updated 15.3.5 CASE expression in UPDATE 15.4 common vendor extensions Chapter 16 15.5 MERGE statement comparing or theta operation 16.1 data type conversion 16.1.1 date display format 16.1.2 other display format 16.2 SQL row Compare 16.3 IS [NOT] DISTINCT FROM operator Chapter 17 value predicates 17.1 IS NULL predicates 17.2 IS [NOT] {TRUE FALSE UNKNOWN} predicates 17.3 IS [NOT] the NORMALIZED predicate Chapter 18 CASE expression 18.1 CASE expression 18.1. 1 COALESCE () and NULLIF () function with GROUP BY CASE expression 18.1.2 18.1.3 CASE CHECK () clause and logical implication the 18.2 subquery expressions and constants 18.3 Rozenshtein characteristic function Chapter 19 LIKE and SIMILAR TO the predicates 19.1 usage patterns skills 19.2 NULL values ??and empty string predicate results is not equal 19.4 19.3 LIKE with links to eliminate the the LIKE predicate 19.5 CASE expression and LIKE search criteria 19.6 SIMILAR TO predicate 19.7 string skills 19.7.1 string 19.7.2 Search with the statement of the character content of a string 19.7.3 create string index Chapter 20 the BETWEEN and OVERLAPS predicates 20.1 BETWEEN predicate 20.1.1 NULL value the results 20.1.2 empty set the results 20.1.3 programming skills Chapter 21 of the 20.2 OVERLAPS predicate [NOT] IN () predicates 21.1 optimization IN () predicates 21.2 IN () the predicate replacement OR21.3 NULL IN () predicates 21.4 IN () predicates and referential constraints 21.5 IN () predicates and scalar 22.6 EXISTS and three-valued logic Chapter 23 quantitative sub queries Chapter 22 EXISTS () the predicates 22.1 EXISTS and NULL22.2 EXISTS and INNER JOIN22.3 NOT EXISTS and OUTER JOIN22.4 EXISTS () and quantifiers 22.5 EXISTS () and referential constraints the 25.1 related sub a simple SELECT statement The query predicates 23.1 scalar subquery comparison 23.2 quantifiers and missing data of 23.3 ALL predicates and extremal function 23.4 UNIQUE predicate 23.5 DISTINCT predicate Chapter 24 24.1 SELECT statement is executed Chapter 25 of the order of 24.2 single-level SELECT statement SELECT statement query 25.2 embed the INNER JOIN25.3 OUTER JOIN25.3.1 OUTER JOIN some historical 25.3.2 NULL and OUTER JOIN search type OUTER JOIN25.3.4 OUTER JOIN JOIN25.3.3 NATURAL self-join 25.3.5 twice or multiple OUTER JOIN25. 3.6 OUTER JOIN and aggregate functions 25.3.7 FULL OUTER JOIN25.4 the UNION the JOIN operator 25.5 scalar SELECT expression 25.6 Old JOIN syntax with new JOIN syntax 25.7 bound JOIN25.7.1 inventory and orders 25.7.2 stable marriage 25.7.3 the ball into the box 25.8 Codd Dr. T links the the 25.8.1 Stobbs program 25.8.2 Pieere program 25.8.3 reference the literature Chapter 26 virtual table: the view. derived table view the CTE and MQT26.1 query 26.2 updatable type 26.3.1 single table view and read-only view of 26.3 view projection and restrictions 26.3.2 computed column 26.3.3 conversion column 26.3.4 grouped view 26.3.5 join 26.3.7 Nested view 26.3.6 view links view 26.4 26.4.1 view column list database engine how to handle view 26.4.2 26.4.5 26.4.4 pointer structure index and view 26.4.3 embedded text expansion 26.5 WITH CHECK OPTION clause 26.6 delete view 26.7 view the use of the temporary table view materialization prompts view 26.7.2 using the temporary table 26.7.1 26.7.3 view flatten Table 26.8 VALUES constructor derived table derived table derived table 26.8.1 FROM clause 26.8.2 26.9 common table expressions 26.10 recursive common table expression 26.10.1 26.10.2 simple tree simple incremental traversal 26.11 materialized query tables Chapter 27 27.1 coverage and query partition data partition 27.1.1 27.1.2 The single-column range range partitioning table 27.1.3 with the function partition 27.1.4 partition in order window function partition 27.2 relations division 27.2.1 division with remainder 27.2.2 exact division 27.2.3 Performance 27.1.5 Description 27.2.4 Todd's division 27.2.5 with JOIN division 27.2. 6 with a collection of operators Boolean expressions divide 27.3 Romley divide 27.4 RDBMS 27.5 FIFO and LIFO subset Chapter 28 grouping operations 28.1 GROUP BY clause 28.2 GROUP BY and HAVING28.3 multi-level aggregation 28.3.1 multistage polymerization grouped view 28.3.2 multi-level aggregation of sub a query expression multilayer polymeric 28.3.3 CASE expression 28.4 28.5 paired grouping 28.6 sorting and Chapter 29 simple GROUP BY aggregate functions grouped on a computed column 29.1 COUNT () function 29.2 SUM () function 29.3 AVG () extremal function of a simple average of 29.4 on the the the function 29.3.1 empty group average of 29.3.2 multiple columns extremal function 29.4.1 29.4.2 generalized extreme value function 29.4.3 conditions extremal function 29.4.4 GREATEST () and LEAST () function to 29.5 the LIST () aggregate function 29.5.1 using recursive CTE the LIST aggregate functions 29.5.2 crosstab LIST () function 29.6 PRD () aggregate function 29.6.1 29.6.2 29.7.1 OR operator by 29.7 Operators logarithmic implement PRD () aggregate function aggregate functions aggregate functions 29.7.2 AND operator aggregation function Chapter 30 Advanced grouping by the expression to achieve the PRD () function. OLAP example 30.3 SET30.2.2 ROLLUP30.2.3 CUBE30.2.4 SQL window of the window of polymerization and SQL OLAP30.1 Star the mode 30.2 GROUPING operator. 30.2.1 Draw of the GROUP BY the GROUPING clause 30.3.1 PARTITION BY clause 30.3.2 the ORDER BY clause 30.3.3 window frame clause 30.4 Windowing Aggregate Functions 30.5 serial number function 30.5.1 line number 30.5.2 RANK () and DENSE_RANK () 30.5.3 PERCENT_RANK () and CUME_DIST () 30.5.4 Some examples of 30.6 vendor extensions of 30.6.1 LEAD and LAG functions 30.6.2 FIRST and LAST function 30.7 is historical knowledge Chapter 31 SQL descriptive statistics. AVG 31.1 plural 31.2 () function the 31.3 median 31.3.1 median programming problem 31.3.2 Celko first 31.3.3 Date median 31.3.4 Murchison one value value value the 31.3.5 Celko value 31.3.6 Vaughan application view in 31.3.7 in the value of the characteristic function 31.3.8 Celko first in the value of the three values ??in 31.3.9 Ken Henderson 31.3.10 OLAP median 31.4 variance and standard deviation of the average deviation 31.5 31.6 Cumulative Statistics 31.6.1 the run differential 31.6.2 cumulative percentage 31.6.3 serial function 31.6.4 quintile, 6, n/a. Please feel free to request a detailed description. In Russian. Series:Studia philologica Slavic culture 2010 year. SKUalbaa672239c8da8b34693ee35cf8100856 . Good. n/a. n/a. 2010., 2010, 2.5, n/a. Please feel free to request a detailed description. In Russian. Series:Studia philologica. M. : Slavic culture, 2010 year. SKUacucbf4f933fe9cba6ae75bf694adc9c929 . Good. n/a. n/a. 2010., 2010, 2.5, Moscow. Please feel free to request a detailed description.In Russian. M Slavic cultures 2006 year. SKUalb1ec55db6bd9b07b8f018a1b646253753 . Good. n/a. n/a. 2006., 2006, 2.5, n/a. Please feel free to request a detailed description.In Russian. 2-e ed. M Slavic culture 2010 year. SKUalba91974321aa2ec53dac6af041e98a288 . Good. n/a. n/a. 2010., 2010, 2.5, Scitus Academics, 2018. Hardcover. New. 6 X 9 inches. Cognitive linguists, like other linguists, study language for its own sake; they attempt to describe and account for its systematicity, its structure, the functions it serves and how these functions are realized by the language system. However, an important reason behind why cognitive linguists study language stems from the assumption that language reflects patterns of thought. Therefore, to study language from this perspective is to study patterns of conceptualization. Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. It started off as a number of diverse researches that went against prevailing generativist theories, namely the primacy of syntax and the modularity of language. These alternative inquiries slowly developed into a school of thought united under the banner of the primacy of meaning, non– modularism and embodiment. However, this unification never involved agreement on all linguistic matters, although the search for consensus on various aspects of cognitive linguistic theory and research has always been on the agenda. Cognitive Linguistics tries to break down the specializations and abstractions of formalism. As a consequence, there is a tendency to blur classical distinctions and dichotomies between linguistic knowledge and encyclopedic, real world knowledge; between literal and figurative language; between synchronic and diachronic linguistics. Cognitive Linguistics: Convergence and Expansion focuses on evidence that strengthens the basic tenets of cognitive linguistics concerning e.g. non-modularity, meaning, and embodiment. A set of chapters explores the expansion of the general cognitive linguistics paradigm and the incorporation of theoretical insights from other disciplines and their methodologies. This Book discusses on a wide range of interrelated topics within cognitive linguistics. Living fully up to its ambitious title, the book is based upon the studies presented at the converging and diverging tendencies in cognitive linguistics. Printed Pages: 316., Scitus Academics, 2018, 6<

2018, ISBN: 9781681177700

Gebundene Ausgabe

Baltimore: Association for Computing Machinery, 1960. 1st Edition. Bound full volume FIRST EDITION (with front wraps of each issue bound in) OF McCARTHY'S A SEMINAL PAPER INTRODUCING HIS… Mehr…

Baltimore: Association for Computing Machinery, 1960. 1st Edition. Bound full volume FIRST EDITION (with front wraps of each issue bound in) OF McCARTHY'S A SEMINAL PAPER INTRODUCING HIS COMPUTER PROGRAMMING LANGUAGE "LISP" & A CLASSIC PAPER BY McILROY ON THE DESIGN OF MACRO PROCESSORS. McCARTHY: "In 1960, John McCarthy published a remarkable paper [the paper offered here] in which he did for programming something like what Euclid did for geometry. He showed how given a handful of simple operators and a notation for functions you can build a whole programming language. He called this language LISP for List Processing because one of his key ideas was to use a simple data structure called a list for both code and data" (Graham, Language Log, 2002). "The latter half of the 1950s saw the advent of the first list processing languages developed to handle operations on non-numerical data arranged in chains rather than serially. By far the most influential of these languages was McCarthy's LISP, the language of choice for AI programming" (Hook & Norman). LISP "eclipsed all other attempts in the same direction and gave the AI community its lingua franca...Though LISP was devised in the first place to provide a convenient means of programming a computer to manipulate strings of symbols (as distinct from numbers), this is not the only, or even the most important contribution this type of language has to make. The crucial point is rather that computer programs themselves are represented in the machine as a sequence of codes, and that a list processing language like LISP makes it easy to treat programs themselves as manipulable data" (Origin of Cyberspace 779 & 780). McILROY: Macros involve switching among many data streams. The paper included here is considered "a classic" in the design of macro processors (Brown, Macro Processors, 1971, 1.9). It "introduced a large number of previously unpublished ideas, arising from a variety of sources. Before McIlroy's paper, the published material on macro processors consisted mainly of descriptions of simple macro assemblers, all of which were much the same. McIlroy considerably broadened the horizons. He proposed that the syntax of macro calls should not be as rigid as in the conventional macro assembler, that all text should be treated in a uniform manner, and that there should be a wide range of macro-time statements. This represents contributions in three basic areas, namely syntax, text evaluation, and macro-time facilities. He also mentioned that the use of macro processors is not confined to assembly languages but can be applied to other languages as well. This introduces a fourth consideration, namely the language into which the macro processor maps, which is called the base language" (ibid). CONDITIONS & DETAILS: Baltimore: Association for Computing Machinery, 1960. Complete, full volume (inclusive of issues from January 1960 through November 1960. Ex-libris with very minimal markings. Tightly and solidly bound in brown buckram, gilt-lettered at the spine; very small "Ames Library" at foot of spine. Bright and clean. Very Good++., Association for Computing Machinery, 1960, 0, Scitus Academics, 2018. Hardcover. New. 6 X 9 inches. Cognitive linguists, like other linguists, study language for its own sake; they attempt to describe and account for its systematicity, its structure, the functions it serves and how these functions are realized by the language system. However, an important reason behind why cognitive linguists study language stems from the assumption that language reflects patterns of thought. Therefore, to study language from this perspective is to study patterns of conceptualization. Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. It started off as a number of diverse researches that went against prevailing generativist theories, namely the primacy of syntax and the modularity of language. These alternative inquiries slowly developed into a school of thought united under the banner of the primacy of meaning, non– modularism and embodiment. However, this unification never involved agreement on all linguistic matters, although the search for consensus on various aspects of cognitive linguistic theory and research has always been on the agenda. Cognitive Linguistics tries to break down the specializations and abstractions of formalism. As a consequence, there is a tendency to blur classical distinctions and dichotomies between linguistic knowledge and encyclopedic, real world knowledge; between literal and figurative language; between synchronic and diachronic linguistics. Cognitive Linguistics: Convergence and Expansion focuses on evidence that strengthens the basic tenets of cognitive linguistics concerning e.g. non-modularity, meaning, and embodiment. A set of chapters explores the expansion of the general cognitive linguistics paradigm and the incorporation of theoretical insights from other disciplines and their methodologies. This Book discusses on a wide range of interrelated topics within cognitive linguistics. Living fully up to its ambitious title, the book is based upon the studies presented at the converging and diverging tendencies in cognitive linguistics. Printed Pages: 316., Scitus Academics, 2018, 6<

2018, ISBN: 9781681177700

Scitus Academics, 2018. Hardcover. New. 6 X 9 inches. Cognitive linguists, like other linguists, study language for its own sake; they attempt to describe and account for its systematic… Mehr…

Scitus Academics, 2018. Hardcover. New. 6 X 9 inches. Cognitive linguists, like other linguists, study language for its own sake; they attempt to describe and account for its systematicity, its structure, the functions it serves and how these functions are realized by the language system. However, an important reason behind why cognitive linguists study language stems from the assumption that language reflects patterns of thought. Therefore, to study language from this perspective is to study patterns of conceptualization. Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. It started off as a number of diverse researches that went against prevailing generativist theories, namely the primacy of syntax and the modularity of language. These alternative inquiries slowly developed into a school of thought united under the banner of the primacy of meaning, non– modularism and embodiment. However, this unification never involved agreement on all linguistic matters, although the search for consensus on various aspects of cognitive linguistic theory and research has always been on the agenda. Cognitive Linguistics tries to break down the specializations and abstractions of formalism. As a consequence, there is a tendency to blur classical distinctions and dichotomies between linguistic knowledge and encyclopedic, real world knowledge; between literal and figurative language; between synchronic and diachronic linguistics. Cognitive Linguistics: Convergence and Expansion focuses on evidence that strengthens the basic tenets of cognitive linguistics concerning e.g. non-modularity, meaning, and embodiment. A set of chapters explores the expansion of the general cognitive linguistics paradigm and the incorporation of theoretical insights from other disciplines and their methodologies. This Book discusses on a wide range of interrelated topics within cognitive linguistics. Living fully up to its ambitious title, the book is based upon the studies presented at the converging and diverging tendencies in cognitive linguistics. Printed Pages: 316., Scitus Academics, 2018, 6<

2018, ISBN: 9781681177700

Scitus Academics, 2018. Hardcover. New. 6 X 9 inches. Cognitive linguists, like other linguists, study language for its own sake; they attempt to describe and account for its systematic… Mehr…

Scitus Academics, 2018. Hardcover. New. 6 X 9 inches. Cognitive linguists, like other linguists, study language for its own sake; they attempt to describe and account for its systematicity, its structure, the functions it serves and how these functions are realized by the language system. However, an important reason behind why cognitive linguists study language stems from the assumption that language reflects patterns of thought. Therefore, to study language from this perspective is to study patterns of conceptualization. Cognitive Linguistics is not a unified theory of language but rather a set of flexible and mutually compatible theoretical frameworks. It started off as a number of diverse researches that went against prevailing generativist theories, namely the primacy of syntax and the modularity of language. These alternative inquiries slowly developed into a school of thought united under the banner of the primacy of meaning, non– modularism and embodiment. However, this unification never involved agreement on all linguistic matters, although the search for consensus on various aspects of cognitive linguistic theory and research has always been on the agenda. Cognitive Linguistics tries to break down the specializations and abstractions of formalism. As a consequence, there is a tendency to blur classical distinctions and dichotomies between linguistic knowledge and encyclopedic, real world knowledge; between literal and figurative language; between synchronic and diachronic linguistics. Cognitive Linguistics: Convergence and Expansion focuses on evidence that strengthens the basic tenets of cognitive linguistics concerning e.g. non-modularity, meaning, and embodiment. A set of chapters explores the expansion of the general cognitive linguistics paradigm and the incorporation of theoretical insights from other disciplines and their methodologies. This Book discusses on a wide range of interrelated topics within cognitive linguistics. Living fully up to its ambitious title, the book is based upon the studies presented at the converging and diverging tendencies in cognitive linguistics. Printed Pages: 316., Scitus Academics, 2018, 6<