||The dependency database shown here is extracted from a
parsed newspaper corpus. Given a word, one can retrieve from this database
the words that had dependency relationship with the input word as well as
their frequency counts.
Word Dependency Relationships
||This demo takes two words as input. It then align the
dependency relationships between each of the word and other words. The
related words are shown in three colors. The green words are related to
the first word. The blue words are related to the second word. The red
words are related to both words. Intuitively, the higher the percentage of
the red words the more similar these two input words are.
||Given a input word, one can retrieve the words that are most
similar to it. The similar words are grouped automatically into clusters.
Each cluster is represented by a distinct color. When a word has multiple
senses, different clusters often correspond to different senses.
The dependency-based word similarity data can be downloaded here
||In the above demo, word similarities are computed using the
dependency relationships between words. Word similarity can also be
computed using the proximity relationship between words.
The proximity-based word similarities can be downloaded here
||The dependency database only provides the frequency counts
of the dependency relationships. Dependency index can be used to retrieve
the sentences in which a dependency relationship occurred.
||This is a demo of the word clustered obtained with the CBC algorithm.
||This is a demo of the paraphrase discovery algorithm in this paper
collocation by Exemplar
||The other interfaces to the collocation database involves
grammatical codes such as 'V:obj:N', 'N:mod:A', ... This interface allows
you to search collocations by providing an exemplar phrase.
||Second language speakers of English often have difficulty
choosing words that are most appropriate among a set of words that are
conceptually possible. For example, strictly speaking, perhaps one should
be able to say 'cancel a ban'. However, a much more appropriate expression
is 'lift a ban'. This program helps you to choose appropriate words.