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Collocation Explorer
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When you want to learn how to use a
vocabulary word, you need to know what other words are
commonly used with it. For example, in English we say
'take medicine' and not 'eat medicine'. Also, we say 'spend
time' not 'pay time'. You can explore this kind of knowledge
yourself here by entering the word you want to investigate
and its part of speech. Choose whether you want to see
words that appear to the left or to the right of that
word and their part of speech.
Go
to Collocation Explorer |
Vocabulary Spider
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The function of Word Spider is to take
any such unknown noun or verb encountered by a user in
any text and, once selected by the user for Word Spider's
assistance, to search the context for any other words
that are semantically related to this unknown word and
which could serve as clues to the meaning of the unknown
word.
Go
to Vocabulary spider |
Collocator
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The Collocator tool detects and highlights
collocations (such as 'prescribe medicine' or 'stiff competition')
in real time on any web page the user is viewing. The
user can select any of the highlighted collocations for
focused attention, activating a 'push' mechanism that
will provide repeated examples of the collocation over
the ensuing days. |
Syntax-based concordancer
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The main purpose of the syntax-based
concordancer is to support grammatical querying of tagged
corpora for language learners and teachers. While syntax-based
queries contribute improvements to general-purpose queries
of massive amounts of data, the power of regular expressions
provide even further advantages when the users are language
learners or teachers and their purpose is finding examples
of specific types of language message. |
Movie Miner
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Movie Miner is built for efficient accessing
and managing large video database. The system retrieves
video clips by searching video subtitle text. For language
learning purpose, we design a syntax search engine embedded
in this system. This search engine uses regular expression
as query language and index construction algorithm is
well-designed for speeding up regular expression matching. |
Auto Quiz Generator
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In the ubiquitous learning environment,
we have planned to develop the automatic quiz generator
for those unspecified learning materials. For personalization,
the familiar degrees of vocabularies, word combinations,
and semantic quiz patterns of each learner will be recorded.
The quiz system will produce two kinds of quizzes for
a new material. First, the vocabulary-based quiz aims
to improve the learners' understanding on their unfamiliar
and ambiguous words by asking them to fill or select correct
word in a sentence. Second, the semantic-based quiz aims
to improve the learners' understanding on the material's
concept. It will include many quiz patterns. Each quiz
pattern is represented by a specific semantic network.
For a material, a semantic-based quiz can be generated
if the quiz's pattern exists in the semantic network of
the material. |
Midas Touch
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© 2008 UWiLL Research Center |
