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Written_interpreting_in_individual_countries_Birgit_Nofftz(2014)

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<strong>Birgit</strong> <strong>Nofftz</strong> (<strong>2014</strong>): <strong>Written</strong> Interpret<strong>in</strong>g <strong>in</strong> Individual Countries<br />

keyboards or other special types of keyboards may be used by the written <strong>in</strong>terpreter<br />

to work more smoothly (different amount of pressure for typ<strong>in</strong>g, different hights of<br />

keys), more ergnonomically (ergonomic keyboards or devideable keyboards) and/or<br />

quieter (lower noise level of keystrokes).<br />

<strong>Written</strong> <strong>in</strong>terpreter with veyboard or velotype 2<br />

Veyboard and velotype belong to the group of chord keyboard, which allows to write<br />

syllabic. The chord keyboards are designed <strong>in</strong> a way that allows the user to stroke a<br />

whole syllable at once. The syllabic beg<strong>in</strong>n<strong>in</strong>g is on the left side (consonants), the<br />

syllabic mid <strong>in</strong> the middle (vowels) and the syllabic end on the right side<br />

(consonants). For veyboard and velotype (both <strong>in</strong>vented <strong>in</strong> the Netherlands), the keystroke<br />

correlates with the written letters. Therefore it is easy to adapt it to new<br />

languages. However, some letters can only be produced <strong>in</strong> comb<strong>in</strong>ation of several<br />

keys. To ga<strong>in</strong> speed, shortcuts and abbreviations are used.<br />

<strong>Written</strong> <strong><strong>in</strong>terpret<strong>in</strong>g</strong> with stenography<br />

Com<strong>in</strong>g from hand stenography to stenography mach<strong>in</strong>es the f<strong>in</strong>al step <strong>in</strong> the<br />

development of stenography are computer compatible steno mach<strong>in</strong>es, which are<br />

used all over the world for report<strong>in</strong>g. These are chord keyboards us<strong>in</strong>g a similar<br />

concept of key layout as the veyboard or velotype, but the syllables at the steno<br />

mach<strong>in</strong>e are pressed correlated to their phonetic sounds; shortcuts are used<br />

frequently. For example: Press<strong>in</strong>g “H O U” can lead to the output “how”, “R U”<br />

becomes “are you” (Libermann 2004). Problems with homophones are possible e. g.<br />

if the written <strong>in</strong>terpreter wants to get the output “RU” <strong>in</strong>stead of “are you”.<br />

<strong>Written</strong> <strong><strong>in</strong>terpret<strong>in</strong>g</strong> with respeak<strong>in</strong>g / <strong>Written</strong> <strong><strong>in</strong>terpret<strong>in</strong>g</strong> with speech recognition<br />

The development of faster processors and bigger work<strong>in</strong>g memories made it possible<br />

that speech recognition software became a new technique for written <strong>in</strong>terpreters.<br />

The written <strong>in</strong>terpreter tra<strong>in</strong>s the software on his/her voice and his/her way of<br />

pronounciation. The written <strong>in</strong>terpreter then repeats respective respeaks the spoken<br />

words. Punctuation marks, names of speakers, sounds etc. are added by speak<strong>in</strong>g,<br />

too. Special commands and vocal shortcuts are used to <strong>in</strong>crease speed. For high<br />

quality written <strong><strong>in</strong>terpret<strong>in</strong>g</strong>, written <strong>in</strong>terpreters are tra<strong>in</strong>ed on accurate pronunciation<br />

even <strong>in</strong> fast speech, add possible words to their vocabularies and use vocal<br />

shortcuts. Mistakes are corrected dur<strong>in</strong>g the process via traditional keyboard.<br />

Additional software makes it possible for written <strong>in</strong>terpreters with respeak<strong>in</strong>g to cowork<br />

dur<strong>in</strong>g an assignment.<br />

It is important to po<strong>in</strong>t out, that written <strong><strong>in</strong>terpret<strong>in</strong>g</strong> with speech recognition or written<br />

<strong><strong>in</strong>terpret<strong>in</strong>g</strong> with respeak<strong>in</strong>g is not automatic speech recognition (ASR). ASR 3 is a<br />

technical solution, which uses a speech recognition software on the ma<strong>in</strong> speaker<br />

and tries to transfer spoken language automatically <strong>in</strong>to written. As punctuation is not<br />

spoken, it does not appear <strong>in</strong> the result<strong>in</strong>g texts. A new l<strong>in</strong>e or a comma <strong>in</strong>dicates<br />

where the speaker makes a pause e. g. for breath<strong>in</strong>g. This is the only result<strong>in</strong>g<br />

structure. Nonverbal or other acoustic elements are not <strong>in</strong>cluded and a coherence<br />

can not be produced, e. g. for irony, laugh<strong>in</strong>g while speak<strong>in</strong>g, po<strong>in</strong>t<strong>in</strong>g at objects etc.<br />

High rates of mistakes or a relatively long delay before deliver<strong>in</strong>g the text is usual,<br />

too. For all these reasons (no human <strong>in</strong>terpreter <strong>in</strong>volved, low accuracy, no<br />

coherence implementation, no decision-mak<strong>in</strong>g), this technology is excluded and is<br />

not discussed <strong>in</strong> this paper.<br />

2Although the layout is similar, there is a struggle whether to name this sort of keyboard “veyboard” or<br />

“velotype”<br />

3 Automatic speech recognition is also known as “speech to text” which causes even more confusion.<br />

4

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