human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "quality estimation of machine translation outputs through stemming"):
  Abstract: Machine Translation is the challenging problem for Indian languages. Every day we can see some machine translators being developed, but getting a high quality automatic translation is still a very distant dream . The correct translated sentence for Hindi language is rarely found. In this paper, we are emphasizing on English-Hindi language pair, so in order to preserve the correct MT output we present a ranking system, which employs some machine learning techniques and morphological features. In ranking no human intervention is required. We have also validated our results by comparing it with human ranking.

Includes members:
  Member "quality estimation of english hindi outputs using naive bayes classifier":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "classifier based text simplification for improved machine translation")
  Member "development of a hindi lemmatizer":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "rule based stemmer in urdu")
  Member "improving the quality of gujarati hindi machine translation through part of speech tagging and stemmer assisted transliteration":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "classifier based text simplification for improved machine translation")
  Member "automatic ranking of mt outputs using approximations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "classifier based text simplification for improved machine translation")
  Member "analysing quality of english hindi machine translation engine outputs using bayesian classification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "towards an arabic english machine translation based on semantic web")
  Member "subjective and objective evaluation of english to urdu machine translation":
    also connected through other hyperedges:
      (none)
  Member "heval yet another human evaluation metric":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "automatic ranking of mt outputs using approximations")
  Member "a lightweight stemmer for gujarati":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "classifier based text simplification for improved machine translation")

Question: Please tell me which class the source paper 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)