Name
Abstract | ||
|---|---|---|
Spoken monologues feature greater sentence length and structural complexity than spoken dialogues. To achieve high-parsing
performance for spoken monologues, simplifying the structure by dividing a sentence into suitable language units could prove
effective. This paper proposes a method for dependency parsing of Japanese spoken monologues based on sentence segmentation.
In this method, dependency parsing is executed in two stages: at the clause level and the sentence level. First, dependencies
within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause.
Next, dependencies across clause boundaries are identified stochastically, and the dependency structure of the entire sentence
is thus completed. An experiment using a spoken monologue corpus shows the effectiveness of this method for efficient dependency
parsing of Japanese monologue sentences. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10579-007-9023-y | Language Resources and Evaluation |
Keywords | DocType | Volume |
Dependency structure,Parsing accuracy,Parsing time,Sentence segmentation,Speech corpus,Speech understanding,Spoken language,Stochastic parsing,Syntactically annotated corpus | Journal | 40 |
Issue | ISSN | Citations |
3-4 | 1572-0218 | 1 |
PageRank | References | Authors |
0.45 | 22 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomohiro Ohno | 1 | 31 | 10.06 |
| Shigeki Matsubara | 2 | 179 | 43.41 |
| Hideki Kashioka | 3 | 380 | 67.59 |
| Takehiko Maruyama | 4 | 87 | 10.04 |
| Hideki Tanaka | 5 | 80 | 15.07 |
| Yasuyoshi Inagaki | 6 | 243 | 44.27 |