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Collocations
In corpus linguistics, a collocation is a series of words or terms that co-occur more often than would be expected by chance. In phraseology, a collocation is a type of compositional phraseme, meaning that it can be understood from the words that make it up. This contrasts with an idiom, where the meaning of the whole cannot be inferred from its parts, and may be completely unrelated. There are about seven main types of collocations: adjective + noun, noun + noun (such as collective nouns), noun + verb, verb + noun, adverb + adjective, verbs + prepositional phrase (phrasal verbs), and verb + adverb. Collocation extraction is a computational technique that finds collocations in a document or corpus, using various computational linguistics elements resembling data mining. Expanded definition Collocations are partly or fully fixed expressions that become established through repeated context-dependent use. Such ...
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Longman Dictionary Of Contemporary English
The ''Longman Dictionary of Contemporary English'' (''LDOCE''), first published by Longman in 1978, is an advanced learner's dictionary, providing definitions using a restricted vocabulary, helping non-native English speakers understand meanings easily. It is available in four configurations: * Printed book * Premium online access * Printed book plus premium online access * Reduced online version with no access charge (called "free" but technically "gratis": the license is still proprietary) The dictionary is currently in its sixth edition. The premium website was revised in 2014 and 2015. It now offers over a million corpus examples (exceeding the paper version's), and includes sound files for every word, 88,000 example sentences, and various tools for study, teaching, examinations and grammar. The 9000 Most Important English Words to Learn have been highlighted via the Longman Communication 9000. The free online version was updated in 2008 and offers search (with spelling ...
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Specialized Dictionary
A specialized dictionary is a dictionary that covers a relatively restricted set of phenomena. The definitive book on the subject (Cowie 2009) includes chapters on some of the dictionaries included below: *synonyms *pronunciations *names (place names and personal names) *phrases and idioms *dialect terms *slang *quotations *etymologies * rhymes *lyrics Dictionaries of idioms and slang are common in most cultures. Examples include (of French) the ''Dictionnaire des expressions et locutions'', edited by Alain Rey (Paris: Le Robert 2006), and (of English) Eric Partridge's ''Dictionary of Slang and Unconventional English'' (8th edition, London: Routledge 2002). In the area of language learning, there are specialized dictionaries for aspects of language which tend to be ordinary for mother-tongue speakers but may cause difficulty for learners. These include dictionaries of phrasal verbs, such as the ''Oxford Phrasal Verbs Dictionary'' (2nd edition, Oxford University Press: 2006), an ...
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Phraseme
A phraseme, also called a set phrase, fixed expression, multiword expression (in computational linguistics), or idiom, is a multi-word or multi-morphemic utterance whose components include at least one that is selectionally constrained or restricted by linguistic convention such that it is not freely chosen. In the most extreme cases, there are expressions such as ''X kicks the bucket'' ≈ ‘person X dies of natural causes, the speaker being flippant about X’s demise’ where the unit is selected as a whole to express a meaning that bears little or no relation to the meanings of its parts. All of the words in this expression are chosen restrictedly, as part of a chunk. At the other extreme, there are collocations such as ''stark naked'', ''hearty laugh'', or ''infinite patience'' where one of the words is chosen freely (''naked'', ''laugh'', and ''patience'', respectively) based on the meaning the speaker wishes to express while the choice of the other (intensifying) word ('' ...
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Keyword (linguistics)
In corpus linguistics a key word is a word which occurs in a text more often than we would expect to occur by chance alone. Key words are calculated by carrying out a statistical test (e.g., loglinear or chi-squared) which compares the word frequencies in a text against their expected frequencies derived in a much larger corpus, which acts as a reference for general language use. Keyness is then the quality a word or phrase has of being "key" in its context. Combinations of nouns with parts of speech that human readers would not likely notice, such as prepositions, time adverbs, and pronouns can be a relevant part of keyness. Even separate pronouns can constitute keywords. Compare this with collocation, the quality linking two words or phrases usually assumed to be within a given span of each other. Keyness is a ''textual'' feature, not a language feature (so a word has keyness in a certain textual context but may well not have keyness in other contexts, whereas a node and colloca ...
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Macmillan English Dictionary For Advanced Learners
''Macmillan English Dictionary for Advanced Learners'', also known as ''MEDAL'', is an advanced learner's dictionary published from 2002 until 2023 by Macmillan Education. It shares most of the features of this type of dictionary: it provides definitions in simple language, using a controlled defining vocabulary; most words have example sentences to illustrate how they are typically used; and information is given about how words combine grammatically or in collocations. ''MEDAL'' also introduced a number of innovations. These include: * "collocation boxes" giving lists of high-frequency collocates, identified using Sketch Engine software * word frequency information, with the most frequent 7500 English words shown in red and categorised in three frequency bands, based on the idea, derived from Zipf's law, that a relatively small number of high-frequency words account for a high percentage of most texts * "metaphor boxes", showing how the vocabulary used for expressing common c ...
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Text Mining
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005), there are three perspectives of text mining: information extraction, data mining, and knowledge discovery in databases (KDD). Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually ...
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Corpus Linguistics
Corpus linguistics is an empirical method for the study of language by way of a text corpus (plural ''corpora''). Corpora are balanced, often stratified collections of authentic, "real world", text of speech or writing that aim to represent a given linguistic variety. Today, corpora are generally machine-readable data collections. Corpus linguistics proposes that a reliable analysis of a language is more feasible with corpora collected in the field—the natural context ("realia") of that language—with minimal experimental interference. Large collections of text, though corpora may also be small in terms of running words, allow linguists to run quantitative analyses on linguistic concepts that may be difficult to test in a qualitative manner. The text-corpus method uses the body of texts in any natural language to derive the set of abstract rules which govern that language. Those results can be used to explore the relationships between that subject language and other language ...
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Monolingual Learner's Dictionary
A monolingual learner's dictionary (MLD) is designed to meet the reference needs of people learning a foreign language. MLDs are based on the premise that language-learners should progress from a bilingual dictionary to a monolingual one as they become more proficient in their target language, but that general-purpose dictionaries (aimed at native speakers) are inappropriate for their needs. Dictionaries for learners include information on grammar, usage, common errors, collocation, and pragmatics, which is largely missing from standard dictionaries, because native speakers tend to know these aspects of language intuitively. And while the definitions in standard dictionaries are often written in difficult language, those in an MLD use a simple and accessible defining vocabulary. History of English language MLDs The first English MLD, published in 1935, was the ''New Method English Dictionary'' by Michael West and James Endicott, a small dictionary using a restricted defining v ...
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Foreign Language
A foreign language is a language that is not an official language of, nor typically spoken in, a specific country. Native speakers from that country usually need to acquire it through conscious learning, such as through language lessons at school, self-teaching, or attending language courses. A foreign language might be learned as a second language; however, there is a distinction between the two terms. A second language refers to a language that plays a significant role in the region where the speaker lives, whether for communication, education, business, or governance. Consequently, a second language is not necessarily a foreign language. Children who learn more than one language from birth or at a very young age are considered bilingual or multilingual. These children can be said to have two, three, or more mother tongues, meaning these languages would not be considered foreign to them, even if one language is a foreign language for the majority of people in the child's birt ...
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Harold E
Harold may refer to: People * Harold (given name), including a list of persons and fictional characters with the name * Harold (surname), surname in the English language * András Arató, known in meme culture as "Hide the Pain Harold" Arts and entertainment * ''Harold'' (film), a 2008 comedy film * ''Harold'', an 1876 poem by Alfred, Lord Tennyson * ''Harold, the Last of the Saxons'', an 1848 book by Edward Bulwer-Lytton, 1st Baron Lytton * '' Harold or the Norman Conquest'', an opera by Frederic Cowen * ''Harold'', an 1885 opera by Eduard Nápravník * Harold, a character from the cartoon ''The Grim Adventures of Billy & Mandy'' * Harold & Kumar, a US movie; Harold/Harry is the main actor in the show. Places ;In the United States * Alpine, Los Angeles County, California, an erstwhile settlement that was also known as Harold * Harold, Florida, an unincorporated community * Harold, Kentucky, an unincorporated community * Harold, Missouri, an unincorporated co ...
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Computational Linguistics (journal)
''Computational Linguistics'' is a quarterly peer-reviewed open-access academic journal in the field of computational linguistics. It is published by MIT Press for the Association for Computational Linguistics (ACL). The journal includes articles, squibs and book reviews. It was established as the ''American Journal of Computational Linguistics'' in 1974 by David Hays and was originally published only on microfiche until 1978. George Heidorn transformed it into a print journal in 1980, with quarterly publication. In 1984 the journal obtained its current title. It has been open-access since 2009. According to the ''Journal Citation Reports'', the journal has a 2021 impact factor The impact factor (IF) or journal impact factor (JIF) of an academic journal is a type of journal ranking. Journals with higher impact factor values are considered more prestigious or important within their field. The Impact Factor of a journa ... of 7.778. Editors-in-chief The following persons a ...
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Log-likelihood
A likelihood function (often simply called the likelihood) measures how well a statistical model explains observed data by calculating the probability of seeing that data under different parameter values of the model. It is constructed from the joint probability distribution of the random variable that (presumably) generated the observations. When evaluated on the actual data points, it becomes a function solely of the model parameters. In maximum likelihood estimation, the argument that maximizes the likelihood function serves as a point estimate for the unknown parameter, while the Fisher information (often approximated by the likelihood's Hessian matrix at the maximum) gives an indication of the estimate's precision. In contrast, in Bayesian statistics, the estimate of interest is the ''converse'' of the likelihood, the so-called posterior probability of the parameter given the observed data, which is calculated via Bayes' rule. Definition The likelihood function, paramet ...
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