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As the channel spreads the Chinese voice and promotes Chinese culture, the status of political document translation is self-evident with the deepening of global communication. Taking the English translation of the reports of the 20th and the 19th CPC National Congress as examples, this paper makes a contrastive study of their lexical features in a corpus-based way. With the assistance of corpus analysis software such as AntConc, TagAnt and WordSmith4.0, the author investigates TTR (type-token ratio), lexical density, average sentence length, high-frequency words, and keywords between two reports. It is found that the report of the 20th CPC Nation Congress has more diversified and native expressions with fewer words used, which provides a guiding significance for the English translation of political documents.

In this paper, we establish the local well-posedness of low regularity solutions to the general second order strictly hyperbolic equation of divergence form ∂t(a0∂tu) + n∑j=1[bj∂ju + ∂j(cju)] + du = f in domain Ω = (0,T0) × Rn, where the coefficients a0,aj,ajk ∈ L∞(Ω) ∩ LL(ˉΩ) (1 ≤ j,k ≤ n), b0,c0,bj,cj ∈ L∞(Ω) ∩ Cα(ˉΩ) (1 ≤ j ≤ n) for α ∈ (1/2,1), d ∈ L∞(Ω), (u(0,x),Xu(0,x)) ∈ (H1−θ+βlog) with θ ∈ (1−α,α), β ∈ R, and Xu = a0∂tu + n∑j=1aj∂ju. Compared with previous references, except a little more general initial data in the space (H1−θ+βlog) (only β=0 is considered as before), we improve both the lifespan of u up to the precise number T∗ and the range of θ to the left endpoint 1 − α under some suitable conditions. [ABSTRACT FROM AUTHOR]