Contribution to Semantic Analysis of Arabic Language

Algorithm 1

WSD-AL algorithm.

𝑆: Sentence contained the word to be disambiguated;

CU: Context of use generated;

𝐶: Corpus; 𝑅₄: root;

𝐺: Glosses from the dictionary generated in Section 3;

AW: ambiguous word;

𝑤, 𝑦: word;

(1) For each 𝑤 ∈ 𝑆 {

(2)     Assign weight 𝑝 = the position on the left or on the right of the ambiguous word;

      }

(3) For each 𝑤 ∈ Glosses of AW {

(4) Lemmatizing (𝑤); // Generate the root

(5) For each 𝑦 ∈ 𝐶 {

(6) Approximate String-Matching (char 𝑤, int 𝑚, char 𝑦, int 𝑛); // Generate a list of occurrences 𝐿(𝑅₄);

  }

(7) For each 𝑤₁ ∈ 𝐿(𝑅₄) {

(8)    Load all the sentences that contains these occurrences to generate the context of use CU;

   }}

Context-Matching (𝑆, CU) {

(9)   For each 𝑤 ∈ 𝑆 {

(10)    For each CU containing AW {

     (11)  𝐶(𝑤)=−log(𝑛(𝑤)/𝑁)×[0.5+(1−0.5)×(𝑛_cu(𝑤)/Max_𝑥∈uc𝑛_cu/(𝑤))];

     (12)  𝑂(𝑤)=log[(𝑁−𝑛(𝑤)+0.5)/𝑛(𝑤)+0.5]×[𝑛_𝑐(𝑤)/(𝑛_cu(𝑤)+(𝑇(cu)/𝑇_𝑛(𝐵)))];

     (13)  𝐻(𝑤)=−log(𝑛(𝑤)/𝑁)×[log(𝑛_cu/(𝑤)+1)/log(𝑇(cu))];

(14) If the result given by each measure are different then

    (15) Apply the leak algorithm between the proposed glosses proposed;

       Else

    (16) Affiliate the sense proposed by the different similarity measures;

   }}