The quatrains of Omar Khayyām. The Persian test with an English verse translation.

English and Persian on opposite pages.

Soviet-Russian scientific and technical terms; a selective list. Special issue, January 1961: Glossary of units and measures, English-Russian, Russian-English.

Issued by the division's Lexicographic and Terminology Section under the former name of the division: Air Information Division.

Military dictionary (advance installment) Part 1. English-Russian. : Part 2. Russian-English. Prepared under the direction of the Chief of Staff.

Mode of access: Internet.

English-Russian grammar, or, Principles of the Russian language for the use of the English,

Mode of access: Internet.

The Institutes of Justinian; with English introduction, translation and notes,

Mode of access: Internet.

A few remarks on Mr. Hayward's English prose translation of Goethe's Faust, with additional observations on the difficulty of translating German works in general.

Mode of access: Internet.

Soviet-Russian scientific and technical terms; a selective list. Special issue: glossary of terms, English-Russian, Russian-English.

Distributed by U.S. Department of Commerce, Office of Technical Services.

Marcadores Pragmáticos en lasTraducciones Rusas de la novela de P.G.Wodhouse “Right Ho, Jeeves”

Este trabajo se enfoca en la traslación de los marcadores pragmáticos en las traducciones rusas de "Right Ho, Jeeves" de P.G. Wodehouse. Aún siendo vacíos semánticamente y opcionales gramaticalmente, estas unidades son indispensables desde el punto de vista pragmático ya que desempeñan muchas funciones en los ámbitos textual e interpersonal. Como son multifuncionales y polisémicos, las equivalencias dadas en los diccionarios bilingües no alcanzan todas las situaciones comunicativas en que se utilizan. Son buenos indicadores que permiten observar la transferencia tanto de las peculiaridades discursivas como del retrato de la relación interpersonal de los protagonistas, dos componentes clave del humor de la novela analizada. El grado de conservación de la carga pragmática y del nivel de formalidad repecute en la construcción del caracter del personaje y en este caso en la representación de la pareja del señor y su criado — un constructo literario que varía según la cultura.

Marcadores pragmáticos en las traducciones rusas de la novela de P.G. Wodehouse "Right Ho, Jeeves"

Este trabajo se enfoca en la traslación de los marcadores pragmáticos en las traducciones rusas de "Right Ho, Jeeves" de P.G. Wodehouse. Aún siendo vacíos semánticamente y opcionales gramaticalmente, estas unidades son indispensables desde el punto de vista pragmático ya que desempeñan muchas funciones en los ámbitos textual e interpersonal. Como son multifuncionales y polisémicos, las equivalencias dadas en los diccionarios bilingües no alcanzan todas las situaciones comunicativas en que se utilizan. Son buenos indicadores que permiten observar la transferencia tanto de las peculiaridades discursivas como del retrato de la relación interpersonal de los protagonistas, dos componentes clave del humor de la novela analizada. El grado de conservación de la carga pragmática y del nivel de formalidad repecute en la construcción del caracter del personaje y en este caso en la representación de la pareja del señor y su criado — un constructo literario que varía según la cultura.

Some translation difficulties in the use of false friends in english

This paper will focus on some aspects of translation based on blending distinct linguistic domains such as English Language and Portuguese in using false friends in the English class in tertiary level students, reflecting namely on: 1. the choice of a word suitable to the context in L2 ; 2. the difficulties encountered by choice of that word that could be misleading, by relying in a false L1 reality that is going to adulterate reality in the L2 domain; 3. the difficulty in making such type of distinctions due to the lack of linguistic and lexical knowledge. 4. the need to study the cause of these difficulties by working, not only with their peers, but also with their language teacher to develop strategies to diminish and if possible to eradicate this type of linguistic and, above all, translation problem by making an inventory of those types of mistakes. In relation to the first point it is necessary to know that translation tasks involve much more than literal concepts ( Ladmiral, 1975) : furthermore it is necessary and suitable to realise that lexicon relies in significant contexts (Coseriu 1966), which connects both domains, that, at first sight do not seem to be compatible. In other words, although students have the impression they dominate lexicon due to the fact that they possess at least seven years of foreign language exposure that doesn’t mean they master the particularities engaged in such a delicate task as translation is concerned. There are some chromaticisms in the words (false friends), that need to be researched and analysed later on by both students and language teachers. The reason for such state of affairs lies in their academic formation, of a mainly general stream, which has enabled them only for knowledge of the foreign language, but not for the translation as a tool as it is required only when they reach the tertiary level. Besides, for their translations they rely, most of the times, on glossaries, whose dominant language is portuguese of Brazil, which is, obviously, much different from the portuguese mother tongue reality and even more of English. So it seems necessary to use with caution the working tools (glossaries) that work as surpluses, but could bring translation problems as we will see.

English to Malayalam Translation: A Statistical Approach

This paper underlines a methodology for translating text from English into the Dravidian language, Malayalam using statistical models. By using a monolingual Malayalam corpus and a bilingual English/Malayalam corpus in the training phase, the machine automatically generates Malayalam translations of English sentences. This paper also discusses a technique to improve the alignment model by incorporating the parts of speech information into the bilingual corpus. 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 training. Various 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. The structural difference between the English Malayalam pair is resolved in the decoder by applying the order conversion rules. 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

Techniques to Improve the word alignments in Statistical Machine Translation from English to Malayalam

In Statistical Machine Translation from English to Malayalam, an unseen English sentence is translated into its equivalent Malayalam translation using statistical models like translation model, language model and a decoder. A parallel corpus of English-Malayalam is used in the training phase. Word to word alignments has to be set up among the sentence pairs of the source and target language before subjecting them for training. This paper is deals with the techniques which can be adopted for improving the alignment model of SMT. Incorporating the parts of speech information into the bilingual corpus has eliminated many of the insignificant alignments. Also identifying the name entities and cognates present in the sentence pairs has proved to be advantageous while setting up the alignments. Moreover, reduction of the unwanted alignments has brought in better training results. 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

A Framework of Statistical Machine Translator from English to Malayalam

In this paper we describe the methodology and the structural design of a system that translates English into Malayalam using statistical models. A monolingual Malayalam corpus and a bilingual English/Malayalam corpus are the main resource in building this Statistical Machine Translator. Training strategy adopted has been enhanced by PoS tagging which helps to get rid of the insignificant alignments. Moreover, incorporating units like suffix separator and the stop word eliminator has proven to be effective in bringing about better training results. In the decoder, order conversion rules are applied to reduce the structural difference between the language pair. The quality of statistical outcome of the decoder is further improved by applying mending rules. 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