Information retrieval and machine translation : based on the International Conference for Standards on a Common Language for Machine Searching and Translation /

Mode of access: Internet.

SERNA system.

Mode of access: Internet.

French-greek machine translation of imperative sentences: issues in aspect and mood from a controlled language perspective

The present dissertation examines how grammatical aspect and mood are handled by machine translation (MT) systems within the scope of imperative sentences (orders, recommendations) when dealing with the language pair French-Greek (unidirectional, towards Greek). As the grammatical category of aspect is not expressed in the same way in both languages, choosing the correct aspect value when translating a verb from French to Greek can pose problems. We are interested in describing the types of errors that occur and their frequency in a corpus taken from texts pertaining to the security domain and from technical manuals, where imperative sentences are very common. In order to further delimit our research, our sample consists of sentences that comply with the general principles of simplicity and readability provided by several controlled language guidelines and aimed at higher translatability when having MT in mind. In a second phase, this study aims at discovering how modifying some of the control rules would help (or not) the MT systems better decide upon the translation of aspect and mood.

A framework for translating English text into Malayalam using statistical models

A methodology for translating text from English into the Dravidian language, Malayalam using statistical models is discussed in this paper. The translator utilizes a monolingual Malayalam corpus and a bilingual English/Malayalam corpus in the training phase and generates automatically the Malayalam translation of an unseen English sentence. Various techniques to improve the alignment model by incorporating the morphological inputs into the bilingual corpus are discussed. Removing the insignificant alignments from the sentence pairs by this approach has ensured better training results. Pre-processing techniques like suffix separation from the Malayalam corpus and stop word elimination from the bilingual corpus also proved to be effective in producing better alignments. Difficulties in translation process that arise due to the structural difference between the English Malayalam pair is resolved in the decoding phase by applying the order conversion rules. The handcrafted rules designed for the suffix separation process which can be used as a guideline in implementing suffix separation in Malayalam language are also presented in this paper. Experiments conducted on a sample corpus have generated reasonably good Malayalam translations and the results are verified with F measure, BLEU and WER evaluation metrics

The fundamentals of human and machine translations /

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