Title :
Methods for improving efficiency of morphosyntactical analyzer for French information processing
Author :
Seo, Laiwon ; Sung, Wonkyung
Abstract :
It is well known that the efficiency of morpho-syntactic analysis depends, among others, on the structure of the dictionary, the algorithm and linguistic philosophy adopted to classify word types and analyze suffixes of irregular verbs. This paper proposes rules to make more efficient the morpho-syntactic analysis, in particular, of French. To do this, the authors try first to classify the forms of French words according to their compositional characteristics. They then propose a series of rules breaking these words into smaller words or morphemes. Additional decomposition rules to analyze complex sentences into simple ones are also presented. With these decomposition rules, an improvement on the morpho-syntactic analyzer for French can be expected
Keywords :
computational linguistics; dictionaries; language translation; natural languages; French information processing; French language processing; algorithm; complex sentences; compositional characteristics; decomposition rules; dictionary; irregular verb suffixes; linguistic philosophy; morphemes; morpho-syntactic analysis; morphosyntactical analyzer efficiency improvement; Algorithm design and analysis; Concatenated codes; Data preprocessing; Dictionaries; Information analysis; Information processing; Joining processes; Natural language processing;
Conference_Titel :
Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
Conference_Location :
Pusan
Print_ISBN :
0-7803-7090-2
DOI :
10.1109/ISIE.2001.931574