Computational Linguistics: Machine Translation

10.00.11-Тил назарияси. Амалий ва компьютер лингвистикаси ФИЛОЛОГИЯ ФАНЛАРИ БЎЙИЧА ФАЛСАФА ДОКТОРИ (PhD) ДИССЕРТАЦИЯСИ АВТОРЕФЕРАТИ Тошкент-2018 йил 2 УДК: 811.111`322.4 811.512.133`322.4 Фалсафа доктори (PhD) диссертацияси автореферати мундарижаси Оглавление автореферата диссертaции доктора философии (PhD) Contents of Dissertation Abstract of the Doctor of Philosophy (PhD)

When representatives Luís Guerra and Olga Gonçalves said that they were hoping to be selected by ReCLes.pt for the next conference, the Board was pleased with their enthusiasm to participate and offer up their traditional conference on Language, Applied Linguistics, and Translation (LALT) for the year 2012 to be remolded under the auspices of a ReCLes.pt event. This exciting challenge was approved for a very busy year of activities: on 27-28 April of the same year, this budding national Association of Language Centers in Higher Education in Portugal had successfully hosted the annual seminar for their European counterpart -CercleS (the European Association of Language Centers in Higher Education). Having been identified as the newest and most burgeoning national member, with 15 member universities and polytechnics in such a small country, CercleS was keen to give ReCLes.pt the opportunity to show its mettle.

The computer now translates human language without having any
understanding of it. How does this happen? The answer to the
question is the concern of this paper. This paper opines that even
though machines could only count and match for translation, the
deficiencies seen in its translation are not majorly computer’s
rather the exploration of language acquisition. The paper
explores two opposing views on language acquisition and used
them to explain the processes of machine translation using
Google translator and Ibadan on-going SMT research as an example.
It concludes that when a human can adequately explain human
language acquisition then there could be an answer to modeling
machine to master human language for translation.

يهدف البحث إلى توظيف التَّحليل التَّقابلي في تحسين مخرجات أدوات وبرامج التَّرجمة الآليَّة بين اللُّغة العربيَّة والإنجليزيَّة، من خلال إبراز الدُّور الذي يلعبه علم اللُّغة التَّقابلي في هذا المجال.
وأمکن البحث من خلال تطبيق عملي على مدونة ثنائية اللُّغة بين العربيَّة والإنجليزيَّة التأکيد على أهمية التَّحليل التَّقابلي في تحسين مخرجات التَّرجمة الآليَّة؛ إذ إن من خلال هذا النَّوع من التَّحليل يمکن توجيه الآلة للطريقة الصحيحة في ترجمة جملة معينة، وکذا الاستفادة من نتائج التَّحليل التَّقابلي في بناء خوارزميَّة تساعد الآلة في تعلُّم الطَّريقة الصحيحة لنقل المعنى من اللُّغة العربيَّة إلى اللُّغة الإنجليزيَّة والعکس، من خلال التعرف على هندسة الجملة في کلا اللُّغتين.

Muitas pessoas pensam que a linguagem está completamente fora do alcance das ciências exatas, enquanto outras têm como certo que os computadores são capazes de entender, traduzir e falar corretamente a língua humana. Quais são os objetivos e as aspirações da linguística computacional? Como é que esse campo de estudo antigo e moderno começou, como se relaciona com outras ciências e para onde está indo?