In this paper, we propose an automatic summarization method combining conventional sentence extraction and trainable classifier based on Support Vector Machine. To make extraction unit smaller than the original sentence extraction, we also introduce sentence segmentation process in our method. The evaluation results show that our system achieves the best result among all the other systems with ...

Recent advances in linguistics, in information theory, and in digital data-handling techniques promise to make possible the translation of languages by machine. This paper 1 proposes a system for translating languages by machine — with the hope that when such a system is worked out in detail, some of the language barriers can be overcome. It is hoped, too, that the translations will have an acc...

The paper investigates method for the style breach detection task. We developed a method based on mapping sentences into high dimensional vector space. Each sentence vector depends on the previous and next sentence vectors. As main architecture for this mapping we use the pre-trained encoder-decoder model. Then we use these vectors for constructing an author style function and detecting outlier...

We propose a method for emerging eecient processing for semantic interpretation. In this method, creation of many individual algorithms written to handle various situations is avoided, and the basic knowledge in an object domain and the situation in which a sentence was uttered as well as the given sentence are described as a declarative program. Semantic interpretation is then performed by equ...

Discourse relation is an important content of discourse semantic analysis, and the study of punctuation is of importance for discourse relation. In this paper, we propose a method of Chinese comma classification based on maximum entropy (ME). This method classifies the sentence relation based on comma with ME by extracting rich linguistic features before and after the commas in sentences. Exper...

This paper proposes a method to identify zero pronouns within a ~]apansse sentence and their antecedent equivalents within the corresponding English sentence from aligned sentence pairs. The method focuses on the characteristics of Japanese and English, in two languages from cHfBerent f~rngles and in which distribution of zero pronouns is very d.uTerent. In this method, the Japanese sentence an...

When we speak a foreign language, we use not only grammatical rules but also memorized expressions. Namely, translations are sometimes produced by mimicking translation examples. Example-Based Machine Translation(EBMT) adopts this strategy as follows: 1) Retrieves the translation example whose Source Expression (SE) is the same as or most similar to the input sentence, 2) Translates the input s...