An Estimate of Referent of Noun Phrases in Japanese Sentences

Computer Science – Computation and Language

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, 0 figures. Computation and Language

Scientific paper

In machine translation and man-machine dialogue, it is important to clarify referents of noun phrases. We present a method for determining the referents of noun phrases in Japanese sentences by using the referential properties, modifiers, and possessors of noun phrases. Since the Japanese language has no articles, it is difficult to decide whether a noun phrase has an antecedent or not. We had previously estimated the referential properties of noun phrases that correspond to articles by using clue words in the sentences. By using these referential properties, our system determined the referents of noun phrases in Japanese sentences. Furthermore we used the modifiers and possessors of noun phrases in determining the referents of noun phrases. As a result, on training sentences we obtained a precision rate of 82% and a recall rate of 85% in the determination of the referents of noun phrases that have antecedents. On test sentences, we obtained a precision rate of 79% and a recall rate of 77%.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An Estimate of Referent of Noun Phrases in Japanese Sentences does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An Estimate of Referent of Noun Phrases in Japanese Sentences, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Estimate of Referent of Noun Phrases in Japanese Sentences will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-529893

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.