Formal grammar - Formal grammar In computer science a formal grammar is a way to describe a formal language, i.e., a set of finite-length strings over a certain finite alphabet. They are named formal grammars by analogy with the concept of grammar for human languages. The basic idea behind these grammars is that we generate strings by beginning with a special start symbol and then apply rules that indicate how certain combinations of symbols may be replaced with other combinations of symbols. For example, assume the alphabet consists of 'a' and 'b', the start symbol is 'S' and we have the following rules: 1. S -> aSb 2. S -> ba then we can rewrite "S" to "aSb" by replacing 'S' with "aSb" (rule 1), and we can then.
Head-driven phrase structure grammar - Head-driven phrase structure grammar The Head-Driven Phrase Structure Grammar (HPSG) is a grammar theory developed by Carl Pollard and Ivan Sag 1985 in the tradition of the transformational-generative grammar. It uses a uniform formalism and is organized in a modular way which makes it attractive for Natural language processing. A HPSG grammar includes principles and grammar rules and lexicon entries which are normally not considered to belong to a grammar. The basic type HPSG deals with is the sign. It has two features PHON (the sound, the phonetic form) and the SYNSEM (syntactic and semantic) feature which is split into subfeatures subsequently. Books Emily Bender, Ivan A. Sag, and Thomas Wasow Syntactic Theory: a formal introduction, Second Edition ([1]) External Link Head-Driven Phrase Structure Grammar.
German grammar - German grammar This page will attempt to outline the grammar of German. Cases German has sixteen total cases for nouns, which are created from four types in each of two aspects. The first aspect is gender. There are three grammatical genders (male, female, and neuter), and there is also plural, which, while isn't technically a gender, functions like one. The other aspect is context. There are four possible contexts, nominative, accusative, dative, and genitive. When choosing the article for a noun in German, the following chart may be used (in this chart, the definite article ('the' in English) will be followed by a which will be followed by the indefinite article ('a' or 'an' in English): male female neuter plural nominative derein dieeine dasein dieeinige accusative deneinen.
Grammar - Grammar simple:Grammar Grammar is the study of the rules governing the use of a language. That set of rules is also called the grammar of the language, and each language has its own distinct grammar. Grammar is part of the general study of language called linguistics. The subfields of grammar are phonetics, phonology, morphology, syntax, and semantics. Linguists recognise a number of types of grammar. Prescriptive grammar -- an attempt to tell the users of the language how to use it in order to speak correctly. This is the sense in which some people state that "I didn't do nothing" is bad grammar. Descriptive grammar -- an attempt to describe the language as it is being used, regardless of whether it is considered correct or not..
Finnish language grammar - Finnish language grammar This article details the grammar of the Finnish language. There are separate articles covering the sound patterns of Finnish, and the ways in which spoken Finnish differs from the formal grammar of the written language. It is probably best to read the introduction to Finnish and Finnish language phonetics articles to make best use of this article. =Pronouns= The pronouns are inflected in the Finnish language much in the same way than their referent nouns are. Table of contents showTocToggle("show","hide") 1 Personal pronouns 2 Demonstrative Pronouns 3 Interrogative Pronouns 4 Relative Pronouns 5 Reciprocal Pronouns 6 Reflexive Pronouns 7 Indefinite Pronouns 8 Cases 8.1 Grammatical Cases 8.2 Locative Cases 8.2.1 Internal Locatives 8.2.2 External Locatives 8.3 Marginal Cases 8.4 Others 8.5 Plurals 8.6 Inflection of.
Formal language - Formal language In mathematics, logic and computer science, a formal language is a set of finite-length words (or "strings") over some finite alphabet. Note that we can talk about formal language in many contexts (scientific, legal and so on), meaning a mode of expression more careful and accurate than everyday speech. Use of a particular formal language in the sense intended here is an 'ultimate' version of that usage: formal enough to be used in written form for automatic computation, is a possible criterion. A typical alphabet would be {a, b}, a typical string over that alphabet would be "ababba", and a typical language over that alphabet containing that string would be the set of all strings which contain the same number of a's as b's..
Formal - Formal Formal - relating to form. For example, formal logic reasons about an argument based only on the form and not on the meaning. If Socrates is a man and all men are mortal, then Socrates is mortal The conclusion follows from propositional logic. We can see the soundness of this argument by substituting in symbols to make the form clear. If S is a P and all P are M, then S is M Other Examples Formal verification works in a formal language to attempt to prove formal properties hold for a formal specification of a formal system Formal power series extend the notion of a power series by removing the requirement for convergence. Thus they have the same form as a power series, but.
Formal system - Formal system In logic, mathematics and computer science, a formal system is a formal grammar used for modelling purposes. Formalization is the act of creating a formal system, in an attempt to capture the essential features of a real-world or conceptual system in formal language. For example, in some colleges the procedures taken against failing students have been set out as a formal system. This gives greater clarity, of course accompanied with a loss of flexibility. Procedures for immigration and naturalisation have tended over time towards more formal models. In mathematics, formal proofs are the product of formal systems, consisting of axioms and rules of deduction. Theorems are then recognised as the possible 'last lines' of formal proofs. The point of view that this picture encompasses.
Dutch grammar - Dutch grammar This page will attempt to outline the grammar of Dutch. Table of contents showTocToggle("show","hide") 1 Word Order 2 Nouns 2.1 Definite article 2.2 Indefinite article 2.3 Pronouns Word Order Structurally, Dutch is a SVO language, meaning that it prefers a sequence of subject, verb, object in its simplest (declarative) statements. Thus: Tom [subject] eet [verb] kaas [object] (Tom eats cheese) Petra ziet de kat (Petra sees the cat) Changes in word order are used in interrogative sentences ("Ging je naar de winkel?", "Did you go to the store?"), changes from active to passive voice ("De auto werd door Jan gekocht", "The car was bought by John"), and lexical or grammatical emphasis (topicalization). Teachers like to make sentences like 'Door Jan werd de auto gekocht' to.
Context-sensitive grammar - Context-sensitive grammar A context-sensitive grammar is a formal grammar G = (N, Σ, P, S) such that all rules in P are of the form αAβ -> αγβ with A in N (i.e., A is single nonterminal) and α and β in (N U Σ)* (i.e., α and β strings of nonterminals and terminals) and γ in (N U Σ)+ (i.e., γ a nonempty string of nonterminals and terminals), plus that a rule of the form S -> ε with ε the empty string, is allowed if S does not appear on the right side of any rule. The adjective context sensitive is explained by the α and β that form then context of A and determine whether A can be replaced with γ or not. This is.
Context-free grammar - Context-free grammar In computer science, a context-free grammar (CFG) is a formal grammar in which every production rule is of the form V -> w where V is a non-terminal symbol and w is a string consisting of terminals and/or non-terminals. The term "context-free" comes from the feature that the variable V can always be replaced by w, in no matter what context it occurs. A formal language is context-free if there is a context-free grammar which generates it. Context-free grammars are important because they are powerful enough to describe the syntax of programming languages; in fact, almost all programming languages are defined via context-free grammars. On the other hand, context-free grammars are simple enough to allow the construction of efficient parsing algorithms which for a given string.
Transformational grammar - Transformational grammar [This article concentrates heavily on Chomsky and Chomsky-related aspects of this topic. This is justifiable to some degree considering his importance in the field, but it would be nice to have a more balanced view.] Transformational grammar is a broad term describing grammars (almost exclusively those of natural languages) which have been developed in a Chomskyan tradition. The term is usually synonymous with the slightly more specific transformational-generative grammar. Deep Structure and Surface Structure In the 1950s and 1960s, Chomsky developed the idea that each sentence in a language has two levels of representation - a Deep Structure and a Surface Structure. The deep structure was a direct representation of the semantics of a sentence, and was mapped onto the surface structure (which followed the.
Regular grammar - Regular grammar In computer science a regular grammar is a formal grammar (N, Σ, P, S) such that all the production rules in P are of one of the following forms: A -> a where A a non-terminal in N and a a terminal in Σ A -> aB where A and B in N and a in Σ A -> ε where A in N. The second form may also be replaced with A -> Ba. An example of a regular grammar G with N = {S, A}, Σ = {a, b, c}, P consists of the following rules S -> aS S -> bA A -> ε A -> cA and S is the start symbol. This grammar describes the same language as the regular.
Katharevousa - Greek liberation. The 'purified' Greek was to be the midpoint between Ancient Greek and Modern (of that time). Katharevousa actually contained archaicised forms of modern words, purged of 'non-Greek' vocabulary from other European languages and Turkish and a simplified, archaic grammar. The purpose of its creation was to mediate the struggle between the 'archaists' (those scholars who preferred Ancient Greek to Modern) and the 'modernists' (those who preferred Modern Greek). One reason the Archaists preferred Ancient Greek was that Modern Greek includes many Latin, Italian and Turkish loan words; and Greece then was a part of the Ottoman Empire). The name Katharevousa means more or less 'clean one', implying that it is a clean form of Greek, without foreign influences, maybe as it would hypothetically have evolved from Ancient Greek had.
Knowledge representation - artificial intelligence. The question is how to store and manipulate knowledge in an information system in a formal way so that it may be used by mechanisms to accomplish a given task. Examples of applications are expert systems, machine translation systems, computer-aided maintenance systems and information retrieval systems (including database front-ends). Some people think it would be best to represent knowledge in the same way that it is represented in human mind, which is the only known working intelligence so far, or to represent knowledge in the form of human language. Unfortunately, we don't know how knowledge is represented in the human mind, or how to manipulate human languages in the same way as the human mind. For this reason, various artificial languages and notations have been proposed for representing knowledge..
ILR or Foreign Service Level language ability measures - as S-1 or Level 1. A person at this level is described as follows: able to satisfy routine travel needs and minimum courtesy requirements can ask and answer questions on very familiar topics; within the scope of very limited language experience can understand simple questions and statements, allowing for slowed speech, repetition or paraphrase has a speaking vocabulary which is inadequate to express anything but the most elementary needs; makes frequent errors in pronunciation and grammar, but can be understood by a native speaker used to dealing with foreigners attempting to speak the language while topics which are "very familiar" and elementary needs vary considerably from individual to individual, any person at the S-1 level should be able to order a simple meal, ask for shelter or lodging, ask and give.
Indian science - ancient history going back to the Vedas. The first formal text is the astronomy of Lagadha (1350 BC). See Grammar Astronomy History of mathematics Ayurveda Physics.
Heinrich Ewald - Eichhorn's death) he became professor extraordinarius in philosophy and lecturer in Old Testament exegesis. In 1831 he was promoted to professor ordinarius in philosophy; in 1833 he became a member of the Royal Scientific Society, and in 1835, after Tychsen's death, he entered the faculty of theology, taking the chair of Oriental languages. Two years later occurred the first important episode in his studious life. In 1837, on November 18, along with six of his colleagues he signed a formal protest against the action of King Ernst August in abolishing the liberal constitution of 1833, which had been granted to the House of Hanover by his predecessor William IV. This bold procedure of the seven professors led to their speedy expulsion from the university (December 14). Early in 1838 Ewald received.
History of the Hebrew language - Ancient Egyptian. It is believed that the original shapes of the script go back to the hieroglyphs of the Egyptian writing. The common ancestor of Hebrew and Phoenician is called Canaanite, and was the first to use a Semitic alphabet distinct from Egyptian. Less ancient samples of Old Hebrew include the tablets found near Lachish and the famous Siloam Inscription which describe events preceding the final capture of Jerusalem by Nebuchadnezzar and the Babylonian captivity of 586 BC. The most famous work originally written in Hebrew is the Bible. Although the texts of the Pentateuch (the first five books of the Bible) were written down relatively late, perhaps as late as 500 BC, it is apparent that some of them date back to as early as the 9th century BC. We.
Hypercorrection - ," people will avoid the phrase you and me even when it appears in the oblique case, and will end up saying things like, "Between you and I. . ." Similar confusion surrounds the pronoun whom; people assume that whom is the formal and fancy version, and end up saying things like "Whom shall I say is calling?" Told that they should never "drop" the ending -ly from adverbs, people produce new words like thusly, soonly, and fastly. Spurious adverb forms also appear behind words that are serving as a copula, and thus would call for a simple predicate in traditional grammar: "my eyes are going badly." Another area of hypercorrection involves Greek and Latin looking words like octopus; the spurious plural octopi likens the octopus to a number of Latin.
