Wiki Test
The letters of blue words are jumbled up! Can you correct them?
WordNet – Psychological justification
The goal of WordNet was to develop a system that would be consistent with the gnolwekde acquired over the years about how human beings process language. Anomic aphasia, for mxaeple , creates a condition that seems to ltvyielseec encumber individuals’ ability to name objects; this makes the decision to partition the parts of speech into distinct eiiahcrserh more of a principled icnioeds than an arbitrary one.
In the asec of hyponymy, psychological eiresmptxen revealed that individuals can access properties of nouns more quickly depending on when a characteristic becomes a defining property. That is, individuals can luyckiq verify that canaries can isgn because a canary is a songbird (only one level of hyponymy), but require slightly more time to verify that canaries can fly (two levels of hyponymy) and even more imet to verify canaries have skin (multiple levels of hyponymy). This suggests that we too store semantic information in a way that is much klie NWrdteo , because we only retain the most specific information needed to differentiate one particular concept from iarmsil concepts. [3]
Choose from the following words:
- quickly
- knowledge
- time
- hierarchies
- decision
- experiments
- case
- selectively
- wordnet
- like
- similar
- example
- sing
Fill in the missing words:
WordNet – Psychological justification
The goal of WordNet was to develop a system that would be consistent with the _________ acquired over the years about how human beings process language. Anomic aphasia, for _______, creates a condition that seems to ___________ encumber individuals’ ability to name objects; this makes the decision to partition the parts of speech into distinct ___________ more of a principled ________ than an arbitrary one.
In the ____ of hyponymy, psychological ___________ revealed that individuals can access properties of nouns more quickly depending on when a characteristic becomes a defining property. That is, individuals can _______ verify that canaries can ____ because a canary is a songbird (only one level of hyponymy), but require slightly more time to verify that canaries can fly (two levels of hyponymy) and even more ____ to verify canaries have skin (multiple levels of hyponymy). This suggests that we too store semantic information in a way that is much ____ _______, because we only retain the most specific information needed to differentiate one particular concept from _______ concepts. [3]
Choose from the following words:
- quickly
- knowledge
- time
- hierarchies
- decision
- experiments
- case
- selectively
- wordnet
- like
- similar
- example
- sing
The original text:
WordNet – Psychological justification
The goal of WordNet was to develop a system that would be consistent with the knowledge acquired over the years about how human beings process language. Anomic aphasia, for example, creates a condition that seems to selectively encumber individuals’ ability to name objects; this makes the decision to partition the parts of speech into distinct hierarchies more of a principled decision than an arbitrary one.
In the case of hyponymy, psychological experiments revealed that individuals can access properties of nouns more quickly depending on when a characteristic becomes a defining property. That is, individuals can quickly verify that canaries can sing because a canary is a songbird (only one level of hyponymy), but require slightly more time to verify that canaries can fly (two levels of hyponymy) and even more time to verify canaries have skin (multiple levels of hyponymy). This suggests that we too store semantic information in a way that is much like WordNet, because we only retain the most specific information needed to differentiate one particular concept from similar concepts. [3]
Important words:
- wordnet
- psychological
- justification
- goal
- develop
- consistent
- knowledge
- acquired
- years
- human
- beings
- process
- language
- anomic
- aphasia
- example
- creates
- condition
- selectively
- encumber
- ability
- makes
- decision
- partition
- parts
- speech
- distinct
- hierarchies
- principled
- arbitrary
- case
- hyponymy
- experiments
- revealed
- individuals
- access
- properties
- nouns
- quickly
- depending
- characteristic
- defining
- property
- verify
- canaries
- sing
- canary
- songbird
- level
- require
- slightly
- time
- fly
- levels
- skin
- multiple
- suggests
- store
- semantic
- information
- way
- like
- retain
- specific
- needed
- differentiate
- particular
- concept
- similar
- concepts
| collocation | frequency |
|---|---|
| word sense | 7 |
| sense disambiguation | 6 |
| semantic web | 5 |
| natural language | 4 |
| knowledge base | 4 |
| freely available | 4 |
| computational linguistics | 4 |
| wordnet synsets | 3 |
| semantic relations | 3 |
| semantic network | 3 |
| search engine | 3 |
| internet search | 3 |
| international conference | 3 |
| coordinate term | 3 |
| automatic text | 3 |
| annual meeting | 3 |
| word senses | 2 |
| web edmonton | 2 |
| verbs adjectives | 2 |
| use wordnet | 2 |
| synonym sets | 2 |
| specialization relations | 2 |
| semantic information | 2 |
| science laboratory | 2 |
| root form | 2 |
| produced wordnets | 2 |
| primitive groups | 2 |
| package called | 2 |
| opinion mining | 2 |
| online wordnet | 2 |
| nouns verbs | 2 |
| multilingual semantic | 2 |
| multilingual database | 2 |
| machine translation | 2 |
| linguistics acl | 2 |
| like wordnet | 2 |
| lexicographic files | 2 |
| lexicographer files | 2 |
| lexical ontology | 2 |
| lexical knowledge | 2 |
| lexical database | 2 |
| level ontology | 2 |
| large scale | 2 |
| large multilingual | 2 |
| language processing | 2 |
| joint conference | 2 |
| information retrieval | 2 |
| image database | 2 |
| global wordnet | 2 |
| george miller | 2 |
| foundational ontologies | 2 |
| european languages | 2 |
| edmonton canada | 2 |
| domestic dog | 2 |
| coordinate terms | 2 |
| conceptual relations | 2 |
| conceptual categories | 2 |
| cognitive science | 2 |
| christiane fellbaum | 2 |
| artificial intelligence | 2 |
| 48th annual | 2 |
| 21st international | 2 |
| collocation | frequency |
|---|---|
| word sense disambiguation | 6 |
| web edmonton canada | 2 |
| semantic web edmonton | 2 |
| nouns verbs adjectives | 2 |
| natural language processing | 2 |
| multilingual semantic network | 2 |
| large multilingual semantic | 2 |
| internet search engine | 2 |
| computational linguistics acl | 2 |
| cognitive science laboratory | 2 |
| 48th annual meeting | 2 |
| collocation | frequency |
|---|---|
| semantic web edmonton canada | 2 |
| large multilingual semantic network | 2 |
