In this paper, we propose incorporating similar sentence retrieval in machine translation to improve the translation of hard-to-translate input sentences. If a given input sentence is hard to translate, a sentence similar to the input sentence is retrieved from a monolingual corpus of translatable sentences and then provided to the MT system instead of the original sentence. This method is adva...

Morphology has a special place in any language, including written and spoken applications. Markov method is used to labeingl and determine the role of words.emergence in software sciences has eliminated 0 and 1 computations, putting them within an infinite space of between 0,1. This characteristic of fuzzy logic has resolved ambiguity in numerous previous problems. The sentence roles in Persian...

Sentence compression is a task of generating a grammatical short sentence from an original sentence, retaining the most important information. The existing methods of removing the constituents in the parse tree of an original sentence cannot deal with recursive structures which appear in the parse tree. This paper proposes a method to remove such structure and generate a grammatical short sente...

Most studies on statistical Korean word spacing do not utilize the information provided by the input sentence and assume that it was completely concatenated. This makes the word spacer ignore the correct spaced parts of the input sentence and erroneously alter them. To overcome such limit, this paper proposes a structural SVM-based Korean word spacing method that can utilize the space informati...

In this paper, we propose an automatic quantitative expansion method for a sentence set that contains sentences of the same meaning (called an equivalent sentence set). This task is regarded as paraphrasing. The features of our method are: 1) The paraphrasing rules are dynamically acquired by Hierarchical Phrase Alignment from the equivalent sentence set, and 2) A large equivalent sentence set ...

Usually ambiguous words contained in article appear several times. Almost all existing methods for unsupervised word sense disambiguation make use of information contained only in ambiguous sentence. This paper presents a novel approach by considering neighborhood knowledge. The approach can naturally make full use of the within-sentence relationship from the ambiguous sentence and cross-senten...

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...