TAILIEUCHUNG - Báo cáo khoa học: "Machine Translation between Turkic Languages"

We present an approach to MT between Turkic languages and present results from an implementation of a MT system from Turkmen to Turkish. Our approach relies on ambiguous lexical and morphological transfer augmented with target side rule-based repairs and rescoring with statistical language models. | Machine Translation between Turkic Languages A. Cuneyd TANTUG Istanbul Technical University Istanbul Turkey tantug@ Abstract Esref ADALI Istanbul Technical University Istanbul Turkey adali@ o Kemal OFLAZER Sabanci University Istanbul Turkey azer@ We present an approach to MT between Turkic languages and present results from an implementation of a MT system from Turkmen to Turkish. Our approach relies on ambiguous lexical and morphological transfer augmented with target side rule-based repairs and rescoring with statistical language models. 1 Introduction Machine translation is certainly one of the toughest problems in natural language processing. It is generally accepted however that machine translation between close or related languages is simpler than full-fledged translation between languages that differ substantially in morphological and syntactic structure. In this paper we present a machine translation system from Turkmen to Turkish both of which belong to the Turkic language family. Turkic languages essentially exhibit the same characteristics at the morphological and syntactic levels. However except for a few pairs the languages are not mutually intelligible owing to substantial divergences in their lexicons possibly due to different regional and historical influences. Such divergences at the lexical level along with many but minor divergences at morphological and syntactic levels make the translation problem rather non-trivial. Our approach is based on essentially morphological processing and direct lexical and morphological transfer augmented with substantial multi-word processing on the source language side and statistical processing on the target side where data for statistical language modelling is more readily available. 189 2 Related Work Studies on machine translation between close languages are generally concentrated around certain Slavic languages . Czech Slovak Czech Polish Czech Lithuanian Hajic et al. 2003

• Báo cáo khoa học
• Machine Translation
• Turkic Languages
• Long Papers
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• N gram based Statistical
• Machine Translation versus Syntax Augmented Machine Translation
• comparison and system combination
• scientific reports
• model language
• process natural language
• Human translation
• Quality of translation
• Linguistic criteria
• Strengths and weaknesses
• Construction and architecture sector
• Mixing Multiple Translation Models
• Statistical Machine Translation
• SMT
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Translation Model Size Reduction
• Hierarchical Phrase based
• Translation Model Adaptation
• Monolingual Topic Information
• Balancing User Effort and Translation Error
• Interactive Machine Translation
• Confidence Measures
• Improving On line Handwritten Recognition
• Translation Models
• Multimodal Interactive Machine Translation
• Name Translation
• Learning When to Transliterate
• A CONSIDERATION ON THE CONCEPTS STRUCTURE
• LANGUAGE IN RELATION TO SELECTIONS OF TRANSLATION EQUIVALENTS OF VERBS
• MACHINE TRANSLATION SYSTEMS
• DEALING WITH INCOMPLETENESS
• LINGUISTIC KNOWLEDGE IN LANGUAGE TRANSLATION TRANSFER AND GENERATION STAGE
• MU MACHINE TRANSLATION PROJECT
• Perplexity Minimization
• Translation Model Domain Adaptation
• Improving Pronoun Translation
• Liane Guillou
• Automatic Construction
• Machine Translation Knowledge
• Translation Literalness
• Computing Consensus Translation
• Multiple Machine Translation Systems
• Enhanced Hypotheses Alignment
• A Discriminative Latent Variable Model
• A Discriminative Latent Variable Model for Statistical Machine Translation
• Machine Translation will not Work
• FORUM ON MACHINE TRANSLATION
• Martin Kay Xerox Palo Alto
• Machine Translation already does Work
• Margaret King
• Domain adaptation
• The English Vietnamese language pair
• Low resource domains
• A machine learning
• the automatic evaluation
• Sciences and humanities
• Real world oriented machine translators
• Multiple reference points
• Occupational segregation
• Khoa học máy tính
• Tạp chí khoa học
• Natural Language Processing
• Phrase based Statistical Machine Translation
• translation of russian technical literature by machine
• James W
• Perry
• Mechanical Translation
• Machine Translation Development at the University of Washington
• Erwin Reifle
• The Work on Machine Translation in the Soviet Union
• V
• Yu
• Rozentsveig
• Studies in Machine Translation—8 Manual for Postediting Russian Text
• H
• P
• Edmundson