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source-channel transliteration model </term> ,	also	called <term> n-gram transliteration model	#5783 Under this framework, a joint source-channel transliteration model, also called n-gram transliteration model (ngram TM), is further proposed to model the transliteration process.
<term> sense coverage </term> . Our analysis	also	highlights the importance of the issue	#4917 Our analysis also highlights the importance of the issue of domain dependence in evaluating WSD programs.
English </term> and <term> Chinese </term> , and	also	exploits the large amount of <term> Chinese	#6978 Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web.
</term> , and <term> word matchings </term> , are	also	factored in by modifying the <term> transition	#21351 Other contextual clues, such as editing terms, word fragments, and word matchings, are also factored in by modifying the transition probabilities.
view of <term> language definition </term> are	also	noted . Representative samples from an <term>	#13401 Several advantages from the point of view of language definition are also noted.
aspects of <term> language learning </term> are	also	discussed . Current <term> natural language	#12524 Implications towards automating certain aspects of language learning are also discussed.
training corpus </term> and the real tasks are	also	taken into consideration by enlarging the	#17899 To make the proposed algorithm robust, the possible variations between the training corpus and the real tasks are also taken into consideration by enlarging the separation margin between the correct candidate and its competing members.
vital to <term> machine translation </term> are	also	discussed together with various interesting	#13314 Some examples of the difference between Japanese sentence structure and English sentence structure, which is vital to machine translation are also discussed together with various interesting ambiguities.
model ’s score </term> of 88.2 % . The article	also	introduces a new <term> algorithm </term> for	#8863 The article also introduces a new algorithm for the boosting approach which takes advantage of the sparsity of the feature space in the parsing data.
and the <term> typing location </term> can be	also	changed in lateral or longitudinal directions	#12284 Its selection of fonts, specification of character size are dynamically changeable, and the typing location can be also changed in lateral or longitudinal directions.
</term> in <term> compound nouns </term> , but	also	can find the correct candidates for the	#20434 This method can not only detect Japanese homophone errors in compound nouns, but also can find the correct candidates for the detected errors automatically.
field of <term> speech processing </term> , but	also	in the related areas of <term> Human-Machine	#18636 The paper provides an overview of the research conducted at LIMSI in the field of speech processing, but also in the related areas of Human-Machine Communication, including Natural Language Processing, Non Verbal and Multimodal Communication.
target <term> recognition task </term> , but	also	that it is possible to get bigger performance	#3059 In this paper, we show how training data can be supplemented with text from the web filtered to match the style and/or topic of the target recognition task, but also that it is possible to get bigger performance gains from the data by using class-dependent interpolation of N-grams.
extensive system development effort but	also	improves the <term> transliteration accuracy	#5835 Our study reveals that the proposed method not only reduces an extensive system development effort but also improves the transliteration accuracy significantly.
can make a fair copy of not only texts but	also	graphs and tables indispensable to our	#12256 In this paper, we report a system FROFF which can make a fair copy of not only texts but also graphs and tables indispensable to our papers.
database </term> . <term> Requestors </term> can	also	instruct the <term> system </term> to notify	#866 Requestors can also instruct the system to notify them when the status of a request changes or when a request is complete.
machine translation task </term> , which can	also	be viewed as a <term> stochastic tree-to-tree	#9489 Second, we describe the graphical model for the machine translation task, which can also be viewed as a stochastic tree-to-tree transducer.
algorithm </term> . In addition , it could	also	be used to help evaluate <term> disambiguation	#19315 In addition, it could also be used to help evaluate disambiguation algorithms that did not make use of the discourse constraint.
of <term> CMU 's SMT system </term> . It has	also	successfully been coupled with <term> rule-based	#8170 It has also successfully been coupled with rule-based and example based machine translation modules to build a multi engine machine translation system.
research </term> . This piece of work has	also	laid a foundation for exploring and harvesting	#8298 This piece of work has also laid a foundation for exploring and harvesting English-Chinese bitexts in a larger volume from the Web.


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