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Persian/Arabic Baffletext CAPTCHA
Persian/Arabic Baffletext CAPTCHA

... In this method, the image of a random meaningless Persian or Arabic word is shown to the user and he is asked to type it. Considering that the presently available Persian and Arabic OCR programs cannot identify these words, the word can be identified only by a Persian or Arabiclanguage user. This me ...
Paper Title (use style: paper title) - International Journal of Advanced
Paper Title (use style: paper title) - International Journal of Advanced

... Data on web comprises facts and opinions. Current search engines search for facts assuming them true as facts can expressed by using keywords, but they does not extracts exact opinions which are impossible to be extracted using few keywords. Searching for these opinions from web is called opinion mi ...
Sentence meaning and compositionality
Sentence meaning and compositionality

... ã Concepts are represented by synsets (synonym-sets) ã Synsets have both definitions and semantic relations ã We will use Princeton Wordnet of English as our sense-inventory for projects one and two ã Wordnets are available for many languages ...
Here
Here

... Just like declarative sentences, constituent questions need an ‘aboutness’ topic: they are asked about something (cf. Mathesius 1915, Reinhart 1981, a.o. on the topic of declaratives, and Krifka 2001, Dikkers 2004 a.o. on the topic of interrogatives). In the words of Dikkers 2004, the topic of a que ...
Troublesome Modifier Workshop
Troublesome Modifier Workshop

... Purring happily, the woman spooned out the cat food. (modifier)--------purring happily (word it seems to modify)-----the woman There are two common ways to fix a dangling modifier. One way is to change the phrase to a dependent clause containing its own subject. The example a below illustrates this ...
A WordNet Detour to FrameNet
A WordNet Detour to FrameNet

... Two major tasks in the (automatic) annotation of texts with frames are the frame assignment problem, i.e. the identification of the proper frame for a given lexical unit, and the semantic role assignment problem, i.e., the assignment of the frame's semantic roles to major sentence constituents. In ...
Discriminative Improvements to Distributional Sentence Similarity
Discriminative Improvements to Distributional Sentence Similarity

... Matrix and tensor factorization have been applied to a number of semantic relatedness tasks, including paraphrase identification. The key idea is that similarity in the latent space implies semantic relatedness. We describe three ways in which labeled data can improve the accuracy of these approache ...
English Reading, Speaking and Listening Plan
English Reading, Speaking and Listening Plan

... Most people read words more accurately than they spell them. The younger pupils are, the truer this is. By the end of year 1, pupils should be able to read a large number of different words containing the GPCs that they have learnt, whether or not they have seen these words before. Spelling, however ...
language transfer in the compositions written by upper secondary
language transfer in the compositions written by upper secondary

... in my opinion for example a shoplifter can learn his homework in prison” pro lesson, cf. Fi. oppia läksynsä, oppia virheistään) on word meaning level. I am also going to study collocations, that is to say what words occur and go hand in hand with other words ( e.g. “…the hard decisions should be org ...
Conceptual grouping in word co-occurrence networks
Conceptual grouping in word co-occurrence networks

... for a user query. What we do is build a new small semantic network with all concepts that are linked to the user query (e.g. 'bomb', see Figure 1, which shows only some of the links around 'bomb'). These concepts will be linked in the new network, if they are directly linked in the original network, ...
Distributional Parts of Speech
Distributional Parts of Speech

... Numerals are a semantically universal class like pronouns, but a syntactic class only in few languages such as Russian (Garde 1981: 184) Problem: How can dependency relations be established without word classes? Basic assumption: Word classes are only language-particular and based entirely on form a ...
Brachet - UB Computer Science and Engineering
Brachet - UB Computer Science and Engineering

... • In the story, B12 is a hart. • In the story, B13 is a hall. • In the story, B13 is King Arthur’s. • In the story, B12 runs into B13. A white brachet is next to the hart. • In the story, B14 is a brachet. • In the story, B14 has the property “white”. • Therefore, brachets are physical objects. (ded ...
Industrial Ontologies Group
Industrial Ontologies Group

... Semantic meanings of the word are usually given by natural language description (e.g. tree _ large, woody, perennial plant with a distinct trunk). Such descriptions are usually convenient for human reading, but not for machine processing. For example, we can't automatically find any other thing, wha ...
Slide 1
Slide 1

... IN - preposition or subordinating conjunction JJ - adjective: Hyphenated compounds that are used as modifiers; happy-go-lucky. JJR - adjective - comparative: Adjectives with the comparative ending ”-er” and a comparative meaning. Sometimes ”more” and ”less”. JJS - adjective - superlative: Adjectives ...
English Appendix 1: Spelling
English Appendix 1: Spelling

... containing the GPCs that they have learnt, whether or not they have seen these words before. Spelling, however, is a very different matter. Once pupils have learnt more than one way of spelling particular sounds, choosing the right letter or letters depends on their either having made a conscious ef ...
The national curriculum in England
The national curriculum in England

... containing the GPCs that they have learnt, whether or not they have seen these words before. Spelling, however, is a very different matter. Once pupils have learnt more than one way of spelling particular sounds, choosing the right letter or letters depends on their either having made a conscious ef ...
ppt
ppt

... words. Some referential words may coexist with words that are contextual. Which words are which will vary from child to child. Jacqui: “no” = context-bound, used when refusing something offered by her mother (wouldn’t say it when offered by someone else or while indicating her dislike of something, ...
Grammar and Spelling Curriculum
Grammar and Spelling Curriculum

... Most people read words more accurately than they spell them. The younger pupils are, the truer this is. By the end of year 1, pupils should be able to read a large number of different words containing the GPCs that they have learnt, whether or not they have seen these words before. Spelling, however ...
Essential Skills Alignment for Language
Essential Skills Alignment for Language

... Language Standard: L.3.2 Standards for Language: L.4.2 Language Standard: L.5.2 Demonstrate command of the conventions of Demonstrate command of the conventions of Observe conventions of capitalization, punctuation, Standard English capitalization, punctuation, and Standard English capitalization, p ...
7. Conclusion
7. Conclusion

... In order to find out if the students of classic philology would benefit from using CRODIP as the additional resource in learning Latin, we conducted a survey. There were 18 participants from the Faculty of Philosophy, Department of Classic Philology, 1st to 5th year of study. The results showed that ...
Sutra 7. Morphology
Sutra 7. Morphology

... are the bound morphemes which cannot normally stand alone, e.g. anticapitalist, pro-choice, worked, happily, songs, singer, sleepless, etc. They cannot stand on their own and only make sense in combination with the stem. Bound morphemes are of two main kinds: inflectional and derivational. The diffe ...
Conjunctions and Interjections
Conjunctions and Interjections

... -when followed by a noun as the object, the word is a preposition; -when followed by a subject and verb, the word is a subordinating conjunction ...
Frequent Frames, Flexible Frames and the Noun-Verb Asymmetry Gary Jones Fernand Gobet
Frequent Frames, Flexible Frames and the Noun-Verb Asymmetry Gary Jones Fernand Gobet

... number of clusters extracted). While this is informative, it does raise a number of problems in interpreting the outcome. First, it is not immediately obvious at what similarity level one should compare different mechanisms, and second, the clustering process itself can be performed in different way ...
On the Role of Analogy Mechanism in Meaning Evolution of
On the Role of Analogy Mechanism in Meaning Evolution of

... sunshine (means cheerful and optimistic), very woman (being full of feminine traits), very lady (gentlewomanly), etc., they had come into being in the early twentieth century, but it was not until the 80s and 90s did they become models through the power of analogy mechanism (Xing, 1997). The backgro ...
Creating a Knowledge Base From a Collaboratively Generated
Creating a Knowledge Base From a Collaboratively Generated

... a network or graph and compute relatedness using paths in it1 . For instance, Rada et al. (1989) traverse MeSH, a term hierarchy for indexing articles in Medline, and compute semantic relatedness as the edge distance between terms in the hierarchy. Jarmasz & Szpakowicz (2003) use the same approach w ...
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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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