human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "real time statistical speech translation"
  Abstract: This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recognition and synthesis software in order to produce a real-time voice communication system between foreigners. We obtained three main data sets from spoken proceedings that represent three different types of human speech. TED, Europarl, and OPUS parallel text corpora were used as the basis for training of language models, for developmental tuning and testing of the translation system. We also conducted experiments involving part of speech tagging, compound splitting, linear language model interpolation, TrueCasing and morphosyntactic analysis. We evaluated the effects of variety of data preparations on the translation results using the BLEU, NIST, METEOR and TER metrics and tried to give answer which metric is most suitable for PL-EN language pair.

Connected through hyperedge HE-1 (induced by source paper "polish english speech statistical machine translation systems for the iwslt 2014"):
  with members:
    - "a sentence meaning based alignment method for parallel text corpora preparation"
    - "enhanced bilingual evaluation understudy"
    - "neural machine translation by jointly learning to align and translate"
    - "polish english speech statistical machine translation systems for the iwslt 2013"

Connected through hyperedge HE-2 (induced by source paper "noisy parallel and comparable corpora filtering methodology for the extraction of bi lingual equivalent data at sentence level"):
  with members:
    - "a sentence meaning based alignment method for parallel text corpora preparation"
    - "polish english speech statistical machine translation systems for the iwslt 2013"

Connected through hyperedge HE-3 (induced by source paper "unsupervised comparable corpora preparation and exploration for bi lingual translation equivalents"):
  with members:
    - "polish english speech statistical machine translation systems for the iwslt 2013"

Connected through hyperedge HE-4 (induced by source paper "spoken language translation for polish"):
  with members:
    - "polish english speech statistical machine translation systems for the iwslt 2013"

Connected through hyperedge HE-5 (induced by source paper "enhancements in statistical spoken language translation by de normalization of asr results"):
  with members:
    - "polish english speech statistical machine translation systems for the iwslt 2013"

Connected through hyperedge HE-6 (induced by source paper "building subject aligned comparable corpora and mining it for truly parallel sentence pairs"):
  with members:
    - "a sentence meaning based alignment method for parallel text corpora preparation"
    - "polish english speech statistical machine translation systems for the iwslt 2013"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CL(Computation and Language)