Translation in the translation table Returns List(str) find_all_src_phrases ( src_sentence ) В¶ДЇinds all subsequences in src_sentence that have a phrase Src_sentence ( list ( str )) вЂ“ Sentence to be translated Returns Word order is similar for both source and target languages. Lower values favour monotone translation, suitable when property distortion_factor В¶ float: Amount of reordering of source phrases. Higher values increase the likelihood of a good translation,Д«ut increases processing time. stack_size В¶ int: Maximum number of hypotheses to consider in a stack. Hypothesis in a stack are dropped from consideration. beam_threshold В¶ float: Hypotheses that score below this factor of the best If negative, longer translations are preferred. If positive, shorter translations are preferred. Word_penalty В¶ float: Influences the translation length exponentially. This interface is experimental and will likely be replaced Log probability of a sentence, if a given string is appended Probability_change method that calculates the change in Language_model ( object) вЂ“ Target language model. Phrases and the log probabilities for those translations. Phrase_table ( PhraseTable) вЂ“ Table of translations for source language translate () _init_ ( phrase_table, language_model ) В¶ Parameters Phrase-based stack decoder for machine translation Statistical Machine Translation.Д¬ambridge University Press, New York. Translation, cost of remaining words to be translated, and so on. Translation probability, language model probability, length of Hypothesis scoring can include various factors such as phrase Of the best hypothesis in that stack are removed. In threshold pruning, hypotheses that score below a certain threshold The hypothesis with the lowest score is removed when the stack is full. In histogram pruning, each stack has a size limit, and Hypotheses with the same number of words translated are placed in the The number of candidate hypotheses by doing histogram and/or threshold To make decoding tractable, stacks are used to limit In different ways, the source phrases can be selected in any order,ДЄnd there could be multiple translations for the same source phrase in The search space is huge because the source sentence can be segmented Translation is complete when a hypothesis covers all source words. Phrase table, and appending that translation to the partial output. A hypothesis can be expandedД«y selecting an untranslated phrase, looking up its translation in a Translated so far and the partial output. Hypothesis data structures are used to keep track of the source words Phrases of one or more words, and translations for those phrases are In phrase-based translation, the source sentence is segmented into A decoder that uses stacks to implement phrase-based translation.

Same decoder