A dependency parsing method based on sentence segmentation into clauses has been proposed and confirmed to be effective. In this method, dependency parsing is executed in two stages: at the clause level and the sentence level. However, since a sentence can not be segmented into complete clauses, in the past research, a unit sandwiched between two clause-end boundaries (clause boundary unit) was...

We present a method for dependency and case structure analysis that captures the consistency between intra-clause relations (i.e., case structures or predicate-argument structures) and inter-clause relations. We assess intra-clause relations on the basis of case frames and inter-clause relations on the basis of transition knowledge between case frames. Both knowledge bases are automatically acq...

In this paper, we propose a method for automatic clause boundary annotation in the Hindi Dependency Treebank. We show that the clausal information implicitly encoded in a dependency structure can be made explicit with no or less human intervention. We exercised the proposed approach on 16,000 sentences of Hindi Dependency Treebank. Our approach gives an accuracy of 94.44% for clause boundary id...

Spoken monologues feature greater sentence length and structural complexity than do spoken dialogues. To achieve high parsing performance for spoken monologues, it could prove effective to simplify the structure by dividing a sentence into suitable language units. This paper proposes a method for dependency parsing of Japanese monologues based on sentence segmentation. In this method, the depen...

The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are proposed for clause and intraclausal coordination detection. They were included in a new dependency parsing algorithm, PACID. For evaluation, Slovene dependency treebank was used. At parsing, 6.4% and 9.2 % relative error reduct...

We propose a method for improving the dependency parsing of complex sentences. This method assumes segmentation of input sentences into clauses and does not require to re-train a parser of one’s choice. We represent a sentence clause structure using clause charts that provide a layer of embedding for each clause in the sentence. Then we formulate a parsing strategy as a two-stage process where ...

In applications of spoken monologue processing such as simultaneous machine interpretation and real-time captions generation, incremental language parsing is strongly required. This paper proposes a technique for incremental dependency parsing of Japanese spoken monologue on a clause-by-clause basis. The technique identifies the clauses based on clause boundaries analysis, analyzes the dependen...

In syntactic analysis of a long sentence, it is difficult to determine the dependency among clauses. To handle such syntactic ambiguity among clauses, this paper proposes a machine learning-based determination method of clause-dependency. We extract various features from clauses, and experiment using SVM machine learning algorithm. Our experimental results showed that the proposed SVM-based met...

Clause boundary identification is a very important task in natural language processing. Identifying the clauses in the sentence becomes a tough task if the clauses are embedded inside other clauses in the sentence. In our approach, we use the dependency parser to identify the boundary for the clause. The dependency tag set, contains 11 tags, and is useful for identifying the boundary of the cla...

For applications of the natural language processing, such as spoken translation, it is the most important characteristic to accept various inputs. We analyze a speech input as a sequence of speech fragment and achieve high acceptability. But it is difficult to determine whether each fragment/unit should be interpreted separately or not. This sort of problem is shared by several applications. We...