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What is Word Choice? - HRSBSTAFF Home Page
What is Word Choice? - HRSBSTAFF Home Page

... Thesaurus Search Use a thesaurus to look up synonyms for: ...
Lecture 8
Lecture 8

... • Rules are often too strict to characterize people’s use of  language (people tend to stretch and bend rules in order to  ...
Vocabulary Journals - best-practices-team
Vocabulary Journals - best-practices-team

... A deep and broad vocabulary is essential for college learning. More importantly, the ability to LEARN new words is paramount to developing a deep and broad vocabulary. Most, if not all, courses include new vocabulary that must be learned to fully comprehend the key concepts being taught. The good ne ...
07 - School of Computing | University of Leeds
07 - School of Computing | University of Leeds

... Bigram tagger: problems Unknown words in new input Parameter estimation: need a tagged training text, what if this is different genre/dialect/language-type from new input? Tokenization of training text and new input: contractions (isn’t), multi-word tokens (New York) crude assumptions very short di ...
An Introduction to Word Classes
An Introduction to Word Classes

... That's why this sentence is wrong: *They are knowing English very well. • The verb know generally is used for a "state of being" rather than an action, and so it can't be used in the progressive form (most of the time). ...
Week 17 Day 1 - cloudfront.net
Week 17 Day 1 - cloudfront.net

... Intro: Practice, practice, practice. That’s all I ever did. I wanted to play in a real game, but it seems I just sat on the bench every Saturday. That was until the first string came down with the flu. Closing: ...
Reading Strategies: Interpreting
Reading Strategies: Interpreting

... then selects a synonym or word that has the same meaning meaning of adjective, participles, and verbs based on context and sentence structure general meaning of adjective (term not used) in paragraph of less than 3 sentences, noun and verb (terms not used) in sentence/ paragraph general meaning of n ...
ICSC 2008-tutorial
ICSC 2008-tutorial

... Use of a core subset of theoretical models and algorithms  State machines, rule systems, probabilistic models, vector-space ...
click here for the revised version of the nonsense poem
click here for the revised version of the nonsense poem

... This should make a grand total of at least 15 made up words. What are the identifying factors that help you determine what part of speech a certain word is? I’m glad you asked. There can be a number of different identifying factors that help determine a word’s part of speech. Suffixes, for example, ...
B.A. Honrus
B.A. Honrus

... sentence.  For  e.g.  She  read  the  sentence  over  and  over  again.  The  phrase  over  and   over  again  can  be  substituted  with  one  word  i.e.  ‘repeatedly’.  Thus,  the  shorter   sentence  is:  She  read  the  sentence ...
WWI-M-A-I-N-foldable-activity
WWI-M-A-I-N-foldable-activity

... “Militarism is the key to help keep our nation free!” An agreement between one or more countries to help each other out. (Brainpop.com) ...
Grammar - Center for Rural Entrepreneurship
Grammar - Center for Rural Entrepreneurship

... Abbreviated meaning for example. Note periods. Don’t include a space after the first period. OK to use when space is a consideration; otherwise, use for example, for instance, or such as. If used, always include a comma after the last period. See also “i.e.” and “ex.” as each of these has different ...
Pre-Interview Task
Pre-Interview Task

... 1.2. Briefly highlight how you would convey to a student the difference in meaning between these pairs of sentences. You can assume that the learner understands the vocabulary in the sentence. a. When I arrived, they had eaten. // When I arrived, they were eating. ...
Notes on Writing Meaningful Sentences
Notes on Writing Meaningful Sentences

... • When your assignment is to write meaningful sentences, use all vocabulary words in meaningful sentences. • Only one word per sentence may be used (otherwise, it is difficult to make the sentence meaningful). • Underline the vocabulary word. • You must use correct grammar, capitalization, and punct ...
Lexicon - bjfu.edu.cn
Lexicon - bjfu.edu.cn

... false analogy with another word, often based on their syllabic structure -- pretending words mean what they used to, thus creating new words based on such speculation. ...
Form and meaning in the sentence.
Form and meaning in the sentence.

... 1. How and why we build sentences. Our mind builds sentences by combining words, in order to express meanings. Notice that the form of a word does not directly depend on its meaning: We say that the relationship between form and meaning is arbitrary. In other words there is nothing in table that mak ...
Determining_Meaning
Determining_Meaning

... Thesaurus • A thesaurus is a reference book similar to dictionary. Instead of having definitions like a dictionary, a thesaurus has synonyms. Synonyms are words that have the same or almost the same meaning as another word. You can use a thesaurus to revise your writing. If you are writing a story ...
Grammatical Guide
Grammatical Guide

... Punctuation mark used to separate items in a list, in direct speech, show a brief pause, separate a main clause from a subordinate clause or indicate parenthesis ...
Basic notions
Basic notions

... Phraseme Word Sememe ...
lecture3
lecture3

... – (201246161,'(separate or cause to separate abruptly; "The rope snapped"; "tear the paper")')] ...
Daily tasks
Daily tasks

... famous names, Author, Author presents a fascinating panorama of literary and theatrical life in late Victorian England. But at its heart is a portrait, rendered with remarkable empathy, of a writer who never achieved popular acclaim in his lifetime or resolved his sexual identity, yet wrote some of ...
language-pdf - Poetry – LANE 447
language-pdf - Poetry – LANE 447

... Language is an element of poetry that plays a major part in poetry. In general, poetry deals with particular things in concrete language, since our emotions most readily respond to these things. From the poem's particular situation, the reader may then generalize; the generalities arise by implicati ...
A DICTIONARY OF GRAMMATICAL TERMS. Compiled February 2016
A DICTIONARY OF GRAMMATICAL TERMS. Compiled February 2016

... Punctuation mark used to separate items in a list, in direct speech, show a brief pause, separate a main clause from a subordinate clause or indicate parenthesis ...
PowerPoint Lesson Plan: Cinquain
PowerPoint Lesson Plan: Cinquain

... Start by using the Gather Your Thoughts work sheet to get ideas on what subject you want to use. 2. Next use the Cinquain Graphic Organizer worksheet to start your poem. 3. Be sure to use both types of thesauruses to create synonyms in your poem! 4. Put the finishing touches on your ...
Cinquain PowerPoint Lesson
Cinquain PowerPoint Lesson

... Start by using the Gather Your Thoughts work sheet to get ideas on what subject you want to use. 2. Next use the Cinquain Graphic Organizer worksheet to start your poem. 3. Be sure to use both types of thesauruses to create synonyms in your poem! 4. Put the finishing touches on your ...
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Word-sense disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology. WSD is identifying which sense of a word (i.e. meaning) is used in a sentence, when the word has multiple meanings. The solution to this problem impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, inference et cetera.The human brain is quite proficient at word-sense disambiguation. The fact that natural language is formed in a way that requires so much of it is a reflection of that neurologic reality. In other words, human language developed in a way that reflects (and also has helped to shape) the innate ability provided by the brain's neural networks. In computer science and the information technology that it enables, it has been a long-term challenge to develop the ability in computers to do natural language processing and machine learning.To date, a rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing word senses. Among these, supervised learning approaches have been the most successful algorithms to date.Current accuracy is difficult to state without a host of caveats. In English, accuracy at the coarse-grained (homograph) level is routinely above 90%, with some methods on particular homographs achieving over 96%. On finer-grained sense distinctions, top accuracies from 59.1% to 69.0% have been reported in recent evaluation exercises (SemEval-2007, Senseval-2), where the baseline accuracy of the simplest possible algorithm of always choosing the most frequent sense was 51.4% and 57%, respectively.
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