The first process of generating a corpus, which is a representative of the language, is the determination of sentences, which is very complicated and hard to solve, but an important part of the corpus generation. Different approaches have been tried to find out sentence boundaries in some languages. In Turkish, the most known ways of determining sentence boundaries are using statistics and mach...

Labeling of sentence boundaries is a necessary prerequisite for many natural language processing tasks, including part-of-speech tagging and sentence alignment. Endof-sentence punctuation marks are ambiguous; to disambiguate them most systems use brittle, special-purpose regular expression grammars and exception rules. As an alternative, we have developed an e cient, trainable algorithm that us...

This paper describes a novel instancebased sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to existing sentence boundary determination approaches, our work offers three significant contributions. First, our approach provides a general domain independent framework that effectively addresses sentence b...

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 addresses the quality of the Persian translations of 32 English tourism textbooks. The qual- ity was assessed at sentence-level and page-level by the researchers and from the viewpoint of a tour- ism management student. In Phase 1, the quality of one randomly selected sentence from each text- book was assessed applying Hurtado Albir‘s analytical model; two were acc...

This paper presents a pilot study of opinion summarization on conversations. We create a corpus containing extractive and abstractive summaries of speaker’s opinion towards a given topic using 88 telephone conversations. We adopt two methods to perform extractive summarization. The first one is a sentence-ranking method that linearly combines scores measured from different aspects including top...

Paragraphs are composed of sentences. Hence when a paragraph begins, a sentence must begin, and as a paragraph closes, some sentence must finish. This observation is the basis of the sentence boundary detection method proposed by Riley (1989). Similarly, sentences consist of words. As a sentence begins or ends there must be word boundaries. Inspired by this notion, we invent a method to learn a...

In order to calculate sentence semantic similarity more accurately, a sentence semantic similarity calculating method based on segmented semantic comparison was proposed. Sentences would be divided into the trunk and the other segments by some grammar rules, and each segment might be divided into several shorter segments. When calculating the sentence semantic similarity between two sentences, ...