With the tremendous increasing of information, the demands of information from people advanced the development of Nature Language Processing (NLP). As a consequent, Sentence compression, which is an important part of automatic summarization, draws much more attention. Sentence compression has been widely used in automatic title generation, Searching Engine, Topic detection and Summarization. Un...

This article describes a method used to calculate the similarity between short English texts, specifically of sentence length. The described algorithm calculates semantic and word order similarities of two sentences. In order to do so, it uses a structured lexical knowledge base and statistical information from a corpus. The described method works well in determining sentence similarity for mos...

The article focuses on the factors that cause linear and vertical sentence extension of multiple complex-compound sentences used in English fictional literature. Considering the sentence structure as a combination of 2 Units – paratactic and hypotactic the authors define the structural peculiarities of paratactic and hypotactic units including the number of clauses and its bonds. The extension ...

Parallel corpora are essential resources for the construction of bilingual term dictionary of historical classics. To obtain large-scale parallel corpora, this paper proposes a sentence alignment method based on mode prediction and term translation pairs. On one hand, the method rebuilds the sentence alignment process according to characteristics of the translation of historical classics, and a...

This paper presents a simple but effective sentence-length informed method to select informative sentences for active learning (AL) based SMT. A length factor is introduced to penalize short sentences to balance the “exploration” and “exploitation” problem. The penalty is dynamically updated at each iteration of sentence selection by the ratio of the current candidate sentence length and the ov...

Prior work presented the sentence tracker, a method for scoring how well a sentence describes a video clip or alternatively how well a video clip depicts a sentence. We present an improved method for optimizing the same cost function employed by this prior work, reducing the space complexity from exponential in the sentence length to polynomial, as well as producing a qualitatively identical re...

Cross-language sentence similarity computation is among the focuses of research in natural language processing (NLP). At present, some researchers have introduced fine-grained word and character features to help models understand meanings, but they do not consider coarse-grained prior knowledge at level. Even if two cross-linguistic pairs same meaning, representations extracted by baseline appr...