We propose a transformation based sentence splitting method for statistical machine translation. Transformations are expanded to improve machine translation quality after automatically obtained from manually split corpus. Through a series of experiments we show that the transformation based sentence splitting is effective pre-processing to long sentence translation.

This paper investigates a novel application of support vector machines (SVMs) for sentence reduction. We also propose a new probabilistic sentence reduction method based on support vector machine learning. Experimental results show that the proposed methods outperform earlier methods in term of sentence reduction performance.

In spoken language, sentence boundaries are much less explicit than in written language. Since conventional natural language processing (NLP) techniques are generally designed assuming the sentence boundaries are already given, it is crucial to detect the boundaries accurately for applying such NLP techniques to spoken language. Classification frameworks, such as Support Vector Machines (SVMs) ...

This paper presents an unsupervised method for extracting parallel sentence pairs from a comparable corpus. A translation system is used to mine the comparable corpus and to detect parallel sentence pairs. An iterative process is implemented not only to increase the number of extracted parallel sentence pairs but also to improve the overall quality of the translation system. A comparison betwee...

We introduce the notion of a multi-vector sentence representation based on a “one vector per proposition” philosophy, which we term skip-prop vectors. By representing each predicate-argument structure in a complex sentence as an individual vector, skip-prop is (1) a response to empirical evidence that single-vector sentence representations degrade with sentence length, and (2) a representation ...

arabic language is in strong relation with jurisprudence in irans university because the lag number of its refrence written by arabic. there many tasks that is in relation with and erstanding this language important tasks are: necessity of attention to the sentence structure in the jurisprudence text and its task for example :relation within two important part of the structure (relation within ...

Sentence extraction is a widely adopted text summarization technique where the most important sentences are extracted from document(s) and presented as a summary. The first step towards sentence extraction is to rank sentences in order of importance as in the summary. This paper proposes a novel graph-based ranking method, iSpreadRank, to perform this task. iSpreadRank models a set of topic-rel...

Prosody recognition experiments have been prepared in the Laboratory of Speech Acoustics, in which, among the others, we were searching for the possibilities of the recognition of sentence modalities. Due to our promising results in the sentence modality recognition, we adopted the method for children modality recognition, and looked for the possibility, how it can be used as an automatic feedb...