Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"word alignment"”.
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Constrained word alignment models for statistical machine translation
Word alignment is a fundamental and crucial component in Statistical Machine Translation (SMT) systems. Despite the enormous progress made in the past two decades, this task remains an active research topic simply because the quality of word alignment is still far from optimal. Most …
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Word alignment and smoothing methods in statistical machine translation: Noise, prior knowledge and overfitting
… here includes larger domains than this: Multi-Word Expressions, Out-Of-Vocabulary words, paraphrases, lexical semantics (or non-literal translations), named-entities, coreferences, and transliterations. The first discussion is about word alignment where we propose a MWE-sensitive word aligner. …
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Advancements in Word Alignment: Introducing a Novel Count-Based Subword Model Alongside Neural and Ensemble Models
The task of aligning words across source and target languages, known as word alignment, plays a crucial role in natural language processing and machine translation. This thesis addresses the word alignment problem by developing and comparing three models: a count-based subword model, a baseline …
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Online Adaptive Neural Machine Translation: from single- to multi-domain scenarios
… In the single-domain case, we first focus on word alignment, a core component of online adaptive phrase-based MT (PBMT) that is crucial for extracting features from a post-edited segment. In particular, we concentrate on improving word alignment in presence of out-of-vocabulary words observed …
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Statistical machine translation with cascaded probabilistic transducers
… is developed based on an extension of the HMM alignment model to the alignment of graphs. To generate new translations using the trained models a decoder is needed. This is essentially a search for the translation with the highest probability. A decoder had been developed which is based on …
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Refinements in hierarchical phrase-based translation systems
… This thesis alleviates this issue between the word alignment module and the grammar extraction and estimation module by considering richer statistics from word alignment models in extraction. We use alignment link and alignment phrase pair posterior probabilities for grammar extraction and …
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Phrase based statistical machine translation : models, search, training
… from the training data. We present improved alignment and translation models. We present alignment models which improve the alignment quality significantly. We extend the standard IBM word alignment models with a symmetric lexicon and we describe the corresponding training procedure. …
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Statistical machine translation : from single-word models to alignment templates
… presented. Various methods for computing single-word alignments using statistical or heuristic models are described. Various smoothing techniques, methods to integrate a conventional dictionary and training methods are analyzed. A detailed evaluation of these models is performed by comparing the …
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Unsupervised Structure Induction for Natural Language Processing
… involve some kind of structure analysis, such as word alignment for machine translation, syntactic parsing for coreference resolution, semantic parsing for question answering, etc. Traditional supervised learning methods rely on manually labeled structures for training. Unfortunately, manual …
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Deep Syntax in Statistical Machine Translation
… independent deep syntactic representation. TL word order can be generated independently of SL word order and therefore no reordering model between source and target words is required. In addition, words in dependency relations are adjacent in the deep syntactic structure, allowing the …