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Frequency List
A word list is a list of words in a lexicon, generally sorted by frequency of occurrence (either by graded levels, or as a ranked list). A word list is compiled by lexical frequency analysis within a given text corpus, and is used in corpus linguistics to investigate genealogies and evolution of languages and texts. A word which appears only once in the corpus is called a hapax legomena. In pedagogy, word lists are used in curriculum design for vocabulary acquisition. A lexicon sorted by frequency "provides a rational basis for making sure that learners get the best return for their vocabulary learning effort" (), but is mainly intended for course writers, not directly for learners. Frequency lists are also made for lexicographical purposes, serving as a sort of checklist to ensure that common words are not left out. Some major pitfalls are the corpus content, the corpus register, and the definition of "word". While word counting is a thousand years old, with still gigantic a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Lexicon
A lexicon (plural: lexicons, rarely lexica) is the vocabulary of a language or branch of knowledge (such as nautical or medical). In linguistics, a lexicon is a language's inventory of lexemes. The word ''lexicon'' derives from Greek word (), neuter of () meaning 'of or for words'. Linguistic theories generally regard human languages as consisting of two parts: a lexicon, essentially a catalogue of a language's words (its wordstock); and a grammar, a system of rules which allow for the combination of those words into meaningful sentences. The lexicon is also thought to include bound morphemes, which cannot stand alone as words (such as most affixes). In some analyses, compound words and certain classes of idiomatic expressions, collocations and other phrasemes are also considered to be part of the lexicon. Dictionaries are lists of the lexicon, in alphabetical order, of a given language; usually, however, bound morphemes are not included. Size and organization Items ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Base Word
A root (also known as a root word or radical) is the core of a word that is irreducible into more meaningful elements. In morphology, a root is a morphologically simple unit which can be left bare or to which a prefix or a suffix can attach. The root word is the primary lexical unit of a word, and of a word family (this root is then called the base word), which carries aspects of semantic content and cannot be reduced into smaller constituents. Content words in nearly all languages contain, and may consist only of, root morphemes. However, sometimes the term "root" is also used to describe the word without its inflectional endings, but with its lexical endings in place. For example, ''chatters'' has the inflectional root or lemma ''chatter'', but the lexical root ''chat''. Inflectional roots are often called stems. A root, or a root morpheme, in the stricter sense, is a mono-morphemic stem. The traditional definition allows roots to be either free morphemes or bound morphemes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Internet Archive
The Internet Archive is an American 501(c)(3) organization, non-profit organization founded in 1996 by Brewster Kahle that runs a digital library website, archive.org. It provides free access to collections of digitized media including websites, Application software, software applications, music, audiovisual, and print materials. The Archive also advocates a Information wants to be free, free and open Internet. Its mission is committing to provide "universal access to all knowledge". The Internet Archive allows the public to upload and download digital material to its data cluster, but the bulk of its data is collected automatically by its web crawlers, which work to preserve as much of the public web as possible. Its web archiving, web archive, the Wayback Machine, contains hundreds of billions of web captures. The Archive also oversees numerous Internet Archive#Book collections, book digitization projects, collectively one of the world's largest book digitization efforts. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Irving Lorge
Irving Daniel Lorge (April 19, 1905 – January 23, 1961) was an American psychologist known for his work in psychometrics. His research focused on a wide variety of topics, including the measurement of giftedness, human intelligence, and readability. While working at Columbia University's Teachers College with his mentor Edward L. Thorndike, he helped develop what became known as the Lorge-Thorndike Intelligence Tests. Biography Lorge was born on April 19, 1905, in New York City. He joined the faculty at Teachers College, Columbia University in 1927 to work with Edward L. Thorndike. In 1938, he became Associate Professor of Education at Teachers College, and he continued to work there for the rest of his life, save for two years working as a consultant to the United States federal government during World War II. Specifically, from 1942 to 1944, he was a consultant to the special training division of the United States Army, where he significantly changed the way in which the Ar ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Edward Thorndike
Edward Lee Thorndike ( – ) was an American psychologist who spent nearly his entire career at Teachers College, Columbia University. His work on comparative psychology and the learning process led to his " theory of connectionism" and helped lay the scientific foundation for educational psychology. He also worked on solving industrial problems, such as employee exams and testing. Thorndike was a member of the board of the Psychological Corporation and served as president of the American Psychological Association in 1912. A '' Review of General Psychology'' survey, published in 2002, ranked Thorndike as the ninth-most cited psychologist of the 20th century. Edward Thorndike had a powerful impact on reinforcement theory and behavior analysis, providing the basic framework for empirical laws in behavior psychology with his law of effect. Through his contributions to the behavioral psychology field came his major impacts on education, where the law of effect has great influence ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hellenistic
In classical antiquity, the Hellenistic period covers the time in Greek history after Classical Greece, between the death of Alexander the Great in 323 BC and the death of Cleopatra VII in 30 BC, which was followed by the ascendancy of the Roman Empire, as signified by the Battle of Actium in 31 BC and the Roman conquest of Ptolemaic Egypt the following year, which eliminated the last major Hellenistic kingdom. Its name stems from the Ancient Greek word ''Hellas'' (, ''Hellás''), which was gradually recognized as the name for Greece, from which the modern historiographical term ''Hellenistic'' was derived. The term "Hellenistic" is to be distinguished from "Hellenic" in that the latter refers to Greece itself, while the former encompasses all the ancient territories of the period that had come under significant Greek influence, particularly the Hellenized Middle East, after the conquests of Alexander the Great. After the Macedonian conquest of the Achaemenid Empire in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Word Frequency Effect
The word frequency effect is a psychological phenomenon where recognition times are faster for words seen more frequently than for words seen less frequently. Word frequency depends on individual awareness of the tested language. The phenomenon can be extended to different characters of the word in non-alphabetic languages such as Chinese. A word is considered to be high frequency if the word is commonly used in daily speech, such as the word "the". A word is considered to be low frequency if the word is not commonly used, such as the word "strait". Some languages such as Chinese have multiple levels of daily speech that impact frequency of words. There is frequency at the character level or at the word level. There is also an effect of frequency at the orthographic level. Lower frequency words benefit more from a single repetition than higher frequency words. Examples Methods for measuring the word frequency effect Most studies looking at the word frequency effect use ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Paul Nation
Paul Nation (complete name Ian Stephen Paul Nation, born 28 April 1944) is a scholar in the field of linguistics and teaching methodology. As a professor in the field of applied linguistics with a specialization in pedagogical methodology, he created a language teaching framework to identify key areas of language teaching focus. Paul Nation is best known for this framework, which has been labelled The Four Strands. He has also made contributions through his research in the field of language acquisition that focuses on the benefits of extensive reading and repetition as well as intensive reading.Victoria University. School of Linguistics and Applied Language Studies. Staff Directory/ref> Biography Paul Nation is a member of thSchool of Linguistics and Applied Language Studiesdepartment at Victoria University of Wellington, New Zealand. He is well known for his research into the methodology of language teaching and vocabulary learning. Nation is employed at Victoria University ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Compression
In natural language processing, semantic compression is a process of compacting a lexicon used to build a textual document (or a set of documents) by reducing language heterogeneity, while maintaining text semantics. As a result, the same ideas can be represented using a smaller set of words. In most applications, semantic compression is a lossy compression. Increased prolixity does not compensate for the lexical compression and an original document cannot be reconstructed in a reverse process. By generalization Semantic compression is basically achieved in two steps, using frequency dictionaries and semantic network: # determining cumulated term frequencies to identify target lexicon, # replacing less frequent terms with their hypernyms (generalization) from target lexicon. Step 1 requires assembling word frequencies and information on semantic relationships, specifically hyponymy. Moving upwards in word hierarchy, a cumulative concept frequency is calculating by adding a su ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hypernym
Hypernymy and hyponymy are the semantic relations between a generic term (''hypernym'') and a more specific term (''hyponym''). The hypernym is also called a ''supertype'', ''umbrella term'', or ''blanket term''. The hyponym names a subtype of the hypernym. The semantic field of the hyponym is included within that of the hypernym. For example, "pigeon", "crow", and "hen" are all hyponyms of "bird" and "animal"; "bird" and "animal" are both hypernyms of "pigeon", "crow", and "hen". A core concept of hyponymy is ''type of'', whereas ''instance of'' is differentiable. For example, for the noun "city", a hyponym (naming a type of city) is "capital city" or "capital", whereas "Paris" and "London" are instances of a city, not types of city. Discussion In linguistics, semantics, general semantics, and ontologies, hyponymy () shows the relationship between a generic term (hypernym) and a specific instance of it (hyponym). A hyponym is a word or phrase whose semantic field is more ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Network
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts, mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in natural language processing applications such as semantic parsing and word-sense disambiguation. Semantic networks can also be used as a method to analyze large texts and identify the main themes and topics (e.g., of social media posts), to reveal biases (e.g., in news coverage), or even to map an entire research field. History Examples of the use of semantic networks in logic, directed acyclic graphs as a mnemonic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
